1.
図書
Alexander I.J. Forrester, András Sóbester, and Andy J. Keane
目次情報:
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Preface
About the Authors
Foreword
Prologue
Fundamentals / Part I：
Sampling Plans / 1：
The 'Curse of Dimensionality' and How to Avoid It / 1.1：
Physical versus Computational Experiments / 1.2：
Designing Preliminary Experiments (Screening) / 1.3：
Estimating the Distribution of Elementary Effects / 1.3.1：
Designing a Sampling Plan / 1.4：
Stratification / 1.4.1：
Latin Squares and Random Latin Hypercubes / 1.4.2：
Space-filling Latin Hypercubes / 1.4.3：
Space-filling Subsets / 1.4.4：
A Note on Harmonic Responses / 1.5：
Some Pointers for Further Reading / 1.6：
References
Constructing a Surrogate / 2：
The Modelling Process / 2.1：
Stage One: Preparing the Data and Choosing a Modelling Approach / 2.1.1：
Stage Two: Parameter Estimation and Training / 2.1.2：
Stage Three: Model Testing / 2.1.3：
Polynomial Models / 2.2：
Example One: Aerofoil Drag / 2.2.1：
Example Two: a Multimodal Testcase / 2.2.2：
What About the k-variable Case? / 2.2.3：
Radial Basis Function Models / 2.3：
Fitting Noise-Free Data / 2.3.1：
Radial Basis Function Models of Noisy Data / 2.3.2：
Kriging / 2.4：
Building the Kriging Model / 2.4.1：
Kriging Prediction / 2.4.2：
Support Vector Regression / 2.5：
The Support Vector Predictor / 2.5.1：
The Kernel Trick / 2.5.2：
Finding the Support Vectors / 2.5.3：
Finding [mu] / 2.5.4：
Choosing C and [epsilon] / 2.5.5：
Computing [epsilon]: v-SVR / 2.5.6：
The Big(ger) Picture / 2.6：
Exploring and Exploiting a Surrogate / 3：
Searching the Surrogate / 3.1：
Infill Criteria / 3.2：
Prediction Based Exploitation / 3.2.1：
Error Based Exploration / 3.2.2：
Balanced Exploitation and Exploration / 3.2.3：
Conditional Likelihood Approaches / 3.2.4：
Other Methods / 3.2.5：
Managing a Surrogate Based Optimization Process / 3.3：
Which Surrogate for What Use? / 3.3.1：
How Many Sample Plan and Infill Points? / 3.3.2：
Convergence Criteria / 3.3.3：
Search of the Vibration Isolator Geometry Feasibility Using Kriging Goal Seeking / 3.4：
Advanced Concepts / Part II：
Visualization / 4：
Matrices of Contour Plots / 4.1：
Nested Dimensions / 4.2：
Reference
Constraints / 5：
Satisfaction of Constraints by Construction / 5.1：
Penalty Functions / 5.2：
Example Constrained Problem / 5.3：
Using a Kriging Model of the Constraint Function / 5.3.1：
Using a Kriging Model of the Objective Function / 5.3.2：
Expected Improvement Based Approaches / 5.4：
Expected Improvement With Simple Penalty Function / 5.4.1：
Constrained Expected Improvement / 5.4.2：
Missing Data / 5.5：
Imputing Data for Infeasible Designs / 5.5.1：
Design of a Helical Compression Spring Using Constrained Expected Improvement / 5.6：
Summary / 5.7：
Infill Criteria with Noisy Data / 6：
Regressing Kriging / 6.1：
Searching the Regression Model / 6.2：
Re-Interpolation / 6.2.1：
Re-Interpolation With Conditional Likelihood Approaches / 6.2.2：
A Note on Matrix Ill-Conditioning / 6.3：
Exploiting Gradient Information / 6.4：
Obtaining Gradients / 7.1：
Finite Differencing / 7.1.1：
Complex Step Approximation / 7.1.2：
Adjoint Methods and Algorithmic Differentiation / 7.1.3：
Gradient-enhanced Modelling / 7.2：
Hessian-enhanced Modelling / 7.3：
Multi-fidelity Analysis / 7.4：
Co-Kriging / 8.1：
One-variable Demonstration / 8.2：
Choosing X[subscript c] and X[subscript e] / 8.3：
Multiple Design Objectives / 8.4：
Pareto Optimization / 9.1：
Multi-objective Expected Improvement / 9.2：
Design of the Nowacki Cantilever Beam Using Multi-objective, Constrained Expected Improvement / 9.3：
Design of a Helical Compression Spring Using Multi-objective, Constrained Expected Improvement / 9.4：
Example Problems / 9.5：
One-Variable Test Function / A.1：
Branin Test Function / A.2：
Aerofoil Design / A.3：
The Nowacki Beam / A.4：
Multi-objective, Constrained Optimal Design of a Helical Compression Spring / A.5：
Novel Passive Vibration Isolator Feasibility / A.6：
Index
Preface
About the Authors
Foreword
2.
図書
Eyal Kolman and Michael Margaliot
目次情報:
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Preface
List of Abbreviations
List of Symbols
Introduction / 1：
Artificial Neural Networks (ANNs) / 1.1：
Fuzzy Rule-Bases (FRBs) / 1.2：
The ANN-FRB Synergy / 1.3：
Knowledge-Based Neurocomputing / 1.4：
Knowledge Extraction from ANNs / 1.4.1：
Knowledge-Based Design of ANNs / 1.4.2：
The FARB: A Neuro-fuzzy Equivalence / 1.5：
The FARB / 2：
Definition / 2.1：
Input-Output Mapping / 2.2：
The FARB-ANN Equivalence / 3：
The FARB and Feedforward ANNs / 3.1：
Example 1: Knowledge Extraction from a Feedforward ANN / 3.1.1：
Example 2: Knowledge-Based Design of a Feedforward ANN / 3.1.2：
The FARB and First-Order RNNs / 3.2：
First Approach / 3.2.1：
Example 3: Knowledge Extraction from a Simple RNN / 3.2.2：
Second Approach / 3.2.3：
Third Approach / 3.2.4：
Example 4: Knowledge Extraction from an RNN / 3.2.5：
Example 5: Knowledge-Based Design of an RNN / 3.2.6：
The FARB and Second-Order RNNs / 3.3：
Summary / 3.4：
Rule Simplification / 4：
Sensitivity Analysis / 4.1：
A Procedure for Simplifying a FARB / 4.2：
Knowledge Extraction Using the FARB / 5：
The Iris Classification Problem / 5.1：
The LED Display Recognition Problem / 5.2：
FARB Simplification / 5.2.1：
Analysis of the FRB / 5.2.3：
Formal Languages / 5.3：
Formal Languages and RNNs / 5.3.2：
The Trained RNN / 5.3.3：
The Direct Approach / 5.3.4：
The Modular Approach / 6.1.1：
The Counter Module / 6.2.1：
The Sequence-Counter Module / 6.2.2：
The String-Comparator Module / 6.2.3：
The String-to-Num Converter Module / 6.2.4：
The Num-to-String Converter Module / 6.2.5：
The Soft Threshold Module / 6.2.6：
KBD of an RNN for Recognizing the AB Language / 6.2.7：
KBD of an RNN for Recognizing the Balanced Parentheses Language / 6.2.9：
Conclusions and Future Research / 6.2.10：
Future Research / 7.1：
Regularization of Network Training / 7.1.1：
Extracting Knowledge during the Learning Process / 7.1.2：
Knowledge Extraction from Support Vector Machines / 7.1.3：
Knowledge Extraction from Trained Networks / 7.1.4：
Proofs / A：
Details of the LED Recognition Network / B：
References
Index
Preface
List of Abbreviations
List of Symbols
3.
図書
Jacek Kluska
目次情報:
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Introduction / 1：
MISO Takagi-Sugeno Fuzzy System with Linear Membership Functions / 2：
Perfect Approximation of Nonlinear Functions Using the Simplest Takagi-Sugeno Model / 2.1：
Assumptions and Linguistic Interpretation of Linear Membership Functions / 2.2：
Compact Description of the MISO TS System / 2.3：
Crisp Output of the Zero-Order MISO P1-TS System / 2.4：
Completeness and Noncontradiction in Rule-Based Systems Defined by Metarules / 2.5：
Matrix Description of the MIMO Fuzzy Rule-Based System / 2.6：
Equivalence Problem in the Rule-Based Systems / 2.7：
Summary / 2.8：
Recursion in TS Systems with Two Fuzzy Sets for Every Input / 3：
Some Features of the Fundamental Matrix and Its Inverse / 3.1：
Theorem on Recursion for P1-TS Systems / 3.2：
Rule-Base Decomposition / 3.2.1：
Crisp Output Calculation for P1-TS System Using Recursion / 3.2.2：
Recursion in More General TS Systems with Two Fuzzy Sets for Every Input / 3.3：
MIMO TS Systems with Inference Concerning the Structure Parameters / 3.4：
Boundedness of P1-TS Systems / 3.5：
Fuzzy Rule-Based Systems with Polynomial Membership Functions / 3.6：
TS Systems with Two Polynomial Membership Functions for Every Input / 4.1：
The Normalized Membership Functions for P2-TS Systems / 4.2：
SISO P2-TS System / 4.3：
P2-TS System with Two and More Inputs / 4.4：
Rule-Base Structure for Two-Inputs-One-Output P2-TS System / 4.4.1：
Rule-Base Structure for Three-Inputs-One-Output P2-TS System / 4.4.2：
The Fundamental Matrix for MISO P2-TS System / 4.5：
Recursion in MISO P2-TS Systems / 4.6：
Crisp Output Calculation for P2-TS System Using Recursion / 4.6.1：
Recursion in More General TS Systems with Three Fuzzy Sets for Every Input / 4.7：
Comprehensive Study and Applications of P1-TS Systems / 4.8：
P1-TS Systems with Two Inputs / 5.1：
General Case / 5.1.1：
A Simple Controller Design for a Milk of Lime Blending Tank / 5.1.2：
P1-TS Systems with Inputs and Outputs from the Unity Interval / 5.1.3：
P1-TS Fuzzy Systems with Three Inputs / 5.2：
Examples of Highly Interpretable P1-TS Systems with Three Inputs / 5.2.1：
Examples of P1-TS Systems with Four and More Inputs / 5.3：
Low Order Atmospheric Circulation Model / 5.3.1：
Induction Motor Model / 5.3.2：
Acclimatization Chamber Model / 5.3.3：
Optimal Fuzzy Control System Design for Second Order Plant / 5.4：
Highly Interpretable Fuzzy Rules for PID Controller / 5.4.1：
Optimal PID Fuzzy Controller for Linear Second Order Plant / 5.4.2：
PD-Like Optimal Controller for Nonlinear Second Order Plant / 5.4.3：
P1-TS System as Controller with Variable Gains / 5.5：
Exact Modeling of Single-Input Dynamical Systems / 5.6：
Exact Modeling of MIMO Linear Dynamical Systems / 5.7：
Strong Triangular Fuzzy Partition / 5.8：
Linearity Condition for P1-TS Systems / 5.9：
The First-Order P1-TS Systems / 5.10：
Zero-Order TS System with Contradictory Rule-Base / 5.11：
Modeling of Multilinear Dynamical Systems from Experimental Data / 5.12：
Problem Statement / 6.1：
Problem Solution / 6.2：
Analytical Solution for Dynamical Systems with Two Variables / 6.3：
Estimation of P1-TS Model by Recursive Least Squares / 6.4：
Binary Classification Using P1-TS Rule Scheme / 6.5：
Problem Description / 7.1：
The Fuzzy Rules with Proximity Degrees / 7.2：
Binary Classifier Equation / 7.3：
P1-TS System with Similarity Degrees as Optimal Binary Classifier / 7.4：
The Regularization Algorithm and Support Vector Machines / 7.5：
Kronecker Product of Matrices / 7.6：
Generators and Fundamental Matrices for P1-TS Systems / B：
Formulas for n = 1 / B.1：
Vertices of the Interval D1 = [-?1, ?1] / B.1.1：
Generator / B.1.2：
Fundamental Matrix and Its Inverse / B.1.3：
Formulas for n = 2 / B.2：
Vertices of the Rectangle D2 = [-?1, ?1] × [-?2, ?2] / B.2.1：
Formulas for n = 3 / B.2.2：
Vertices of the Cuboid D3 = [-?1, ?1] × [-?2, ?2] × [-?3, ?3] / B.3.1：
Formulas for n = 4 / B.3.2：
Vertices of the Hypercuboid D4 = [-?1, ?1] × ... × [-?4, ?4] / B.4.1：
Proofs of Theorems, Remarks and Algorithms / B.4.2：
Proof of Remark 3.2 / C.1：
Proof of Remark 3.3 / C.2：
Proof of Corollary 5.27 / C.3：
Proof of RLS Algorithm from Section 6.4 / C.4：
References
Index
Introduction / 1：
MISO Takagi-Sugeno Fuzzy System with Linear Membership Functions / 2：
Perfect Approximation of Nonlinear Functions Using the Simplest Takagi-Sugeno Model / 2.1：
4.
図書
Xuzhu Wang, Da Ruan and Etienne E Kerre
目次情報:
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Preliminaries / 1：
Sets / 1.1：
Relations / 1.2：
Mappings and Algebraic Systems / 1.3：
Lattices / 1.4：
Special Lattices / 1.5：
Exercises / 1.6：
Basics of Fuzzy Sets / 2：
Fuzzy Sets and Their Set- Theoretic Operations / 2.1：
General Fuzzy Logic Connectives / 2.2：
Fuzzy Negations / 2.2.1：
Triangular Norms and Conorms / 2.2.2：
Fuzzy Implications / 2.2.3：
Fuzzy Equivalencies / 2.2.4：
Decomposition of a Fuzzy Set / 2.3：
Mathematical Representation of Fuzzy Sets / 2.4：
L-Fuzzy Sets / 2.5：
Pseudo-complements / 2.5.1：
L-Fuzzy Sets and Their Set-Theoretic Operations / 2.5.2：
Decomposition of an L-Fuzzy Set / 2.5.3：
Mathematical Representation of L-Fuzzy Sets / 2.5.4：
Fuzzy Pattern Recognition / 2.6：
Type I Fuzzy Pattern Recognition / 2.6.1：
Type II Fuzzy Pattern Recognition / 2.6.2：
Fuzzy Relations / 2.7：
Basic Concepts of Fuzzy Relations / 3.1：
Compositions of Fuzzy Relations / 3.2：
Round Composition of Fuzzy Relations / 3.2.1：
Subcomposition, Supercomposition and Square Composition of Fuzzy Relations / 3.2.2：
Fuzzy Equivalence Relations / 3.3：
Closures / 3.4：
The Concept of a Closure / 3.4.1：
The Transitive Closure of a Fuzzy Relation / 3.4.2：
Fuzzy Tolerance Relations / 3.5：
Other Special Fuzzy Relations / 3.6：
Crisp Negative Transitivity, Semitransitivity, and Ferrers Property / 3.6.1：
Negative S-Transitivity, T-S-Semitransitivity, and T-S-Ferrers Property / 3.6.2：
Consistency, Weak Transitivity and Acyclicity / 3.6.3：
Fuzzy Relation Equations / 3.7：
Some Applications of Fuzzy Relations / 3.8：
Fuzzy Clustering Analysis / 3.8.1：
An Application to Information Retrieval / 3.8.2：
An Application to Multiple Attribute Decision Making Analysis / 3.8.3：
Extension Principle and Fuzzy Numbers / 3.9：
Unary Extension Principle / 4.1：
n-Ary Extension Principle / 4.2：
Convex Fuzzy Quantities / 4.3：
Fuzzy Numbers / 4.4：
The Concept of a Fuzzy Number / 4.4.1：
Properties of Algebraic Operations on Fuzzy Numbers / 4.4.2：
Ranking of Fuzzy Numbers / 4.5：
Ranking Fuzzy Numbers by a Ranking Function / 4.5.1：
Ranking Fuzzy Numbers According to the Closeness to a Reference Set / 4.5.2：
Ranking Fuzzy Numbers Based on Pairwise Comparisons / 4.5.3：
Ranking Axioms / 4.5.4：
An Application of Fuzzy Numbers / 4.6：
A Brief Introduction to Some Pure Mathematical Topics / 4.7：
Fuzzy Measures and Fuzzy Integrals / 5.1：
Fuzzy Measures / 5.1.1：
Fuzzy Integrals / 5.1.2：
Fuzzy Algebra / 5.2：
Fuzzy Subgroups / 5.2.1：
Normal Fuzzy Subgroups / 5.2.2：
Fuzzy Subrings / 5.2.3：
Fuzzy Ideals / 5.2.4：
Fuzzy Topology / 5.3：
Definitions / 5.3.1：
Characterization of a Fuzzy Topology in Terms of Preassigned Operations / 5.3.2：
Characterization of a Fuzzy Topology in Terms of Closed Sets / 5.3.3：
Characterization of a Fuzzy Topology Using the Interior Operator / 5.3.4：
Characterization of a Fuzzy Topology by Means of a Closure Operator / 5.3.5：
Characterization of a Fuzzy Topology by Means of Neighborhood Systems / 5.3.6：
Normality in Fuzzy Topological Spaces / 5.3.7：
Some Examples of Fuzzy Topological Spaces / 5.3.8：
Fuzzy Inference and Fuzzy Control / 5.4：
Linguistic Variables and Hedges / 6.1：
Fuzzy Propositions and IF-THEN Rules / 6.2：
Fuzzy Inference Rules / 6.3：
The Calculation of Inference Results / 6.4：
Fuzzification and Defuzzification / 6.5：
The Principle of Fuzzy Control / 6.6：
References / 6.7：
Index
Preliminaries / 1：
Sets / 1.1：
Relations / 1.2：
5.
図書
Michał Baczyński ; Balasubramaniam Jayaram
目次情報:
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Preface
Notations and Some Preliminaries
An Introduction to Fuzzy Implications / 1：
Definition and Basic Examples / 1.1：
Continuity of Fuzzy Implications / 1.2：
Basic Properties of Fuzzy Implications / 1.3：
Negations from Fuzzy Implications / 1.4：
Fuzzy Negations / 1.4.1：
Natural Negations of Fuzzy Implications / 1.4.2：
Laws of Contraposition / 1.5：
Reciprocal Fuzzy Implications / 1.6：
Bibliographical Remarks / 1.7：
Analytical Study of Fuzzy Implications / Part I：
Fuzzy Implications from Fuzzy Logic Operations / 2：
Fuzzy Conjunctions: Triangular Norms / 2.1：
Fuzzy Disjunctions: Triangular Conorms / 2.2：
Relationships between Negations, T-Norms and T-Conorms / 2.3：
Natural Negations of T-Norms and T-Conorms / 2.3.1：
Laws of Excluded Middle and Contradiction / 2.3.2：
De Morgan Triples / 2.3.3：
(S,N)-Implications and S-Implications / 2.4：
Motivation, Definition and Examples / 2.4.1：
Characterizations of (S,N)-Implications / 2.4.2：
(S,N)-Implications and the Identity Principle / 2.4.3：
(S,N)-Implications and the Ordering Property / 2.4.4：
Intersections between Subfamilies of (S,N)-Implications / 2.4.5：
R-Implications / 2.5：
Properties of R-Implications / 2.5.1：
Characterizations and Representations of R-Implications / 2.5.3：
R-Implications and Laws of Contraposition / 2.5.4：
Intersections between Subfamilies of R-Implications / 2.5.5：
QL-Implications / 2.6：
Definition, Examples and Basic Properties / 2.6.1：
QL-Implications and the Exchange Principle / 2.6.2：
QL-Implications and the Identity Principle / 2.6.3：
QL-Implications and the Ordering Property / 2.6.4：
QL-Implications and the Law of Contraposition / 2.6.5：
Fuzzy Implications from Generator Functions / 2.7：
f-Generated Implications / 3.1：
Definition and Examples / 3.1.1：
Properties of f-Implications / 3.1.2：
g-Generated Implications / 3.2：
Properties of g-Implications / 3.2.1：
Intersections between Families of Fuzzy Implications / 3.3：
Intersections between (S,N)- and R-Implications / 4.1：
Intersections between (S,N)- and QL-Implications / 4.2：
Intersections between R- and QL-Implications / 4.3：
Intersections between Yager's f- and g-Implications / 4.4：
Intersections between Yager's and (S,N)-Implications / 4.5：
Intersections between Yager's and R-Implications / 4.6：
Intersections between Yager's and QL-Implications / 4.7：
Fuzzy Implications from Uninorms / 4.8：
Uninorms / 5.1：
Definitions and Examples / 5.1.1：
Pseudo-continuous Uninorms / 5.1.2：
Idempotent Uninorms / 5.1.3：
Representable Uninorms / 5.1.4：
Natural Negations of Fuzzy Implications - Revisited / 5.2：
(U,N)-Implications / 5.3：
Definition and Basic Properties / 5.3.1：
Characterizations of (U,N)-Implications / 5.3.2：
RU-Implications / 5.4：
RU-Implications from Pseudo-continuous Uninorms / 5.4.1：
RU-Implications from Representable Uninorms / 5.4.3：
RU-Implications from Idempotent Uninorms / 5.4.4：
Intersections between (U,N)- and RU-Implications / 5.5：
Intersection between I[subscript U,N] and I[subscript U subscript M] / 5.5.1：
Intersection between I[subscript U,N] and I[subscript U subscript R] / 5.5.2：
Intersection between I[subscript U,N] and I[subscript U subscript I] / 5.5.3：
Intersection between I[subscript U subscript M] and I[subscript U subscript R] / 5.5.4：
Intersection between I[subscript U subscript M] and I[subscript U subscript I] / 5.5.5：
Intersection between I[subscript U subscript R] and I[subscript U subscript I] / 5.5.6：
Algebraic Study of Fuzzy Implications / 5.6：
Algebraic Structures of Fuzzy Implications / 6：
Lattice of Fuzzy Implications / 6.1：
Convex Classes of Fuzzy Implications / 6.2：
Conjugacy Classes of Fuzzy Implications / 6.3：
Semigroups of Fuzzy Implications / 6.4：
Composition of Fuzzy Implications / 6.4.1：
Fuzzy Implications and Some Functional Equations / 6.4.2：
Contrapositive Symmetrization of Fuzzy Implications / 7.1：
Upper and Lower Contrapositivisations / 7.1.1：
Medium Contrapositivisation / 7.1.2：
Distributivity of Fuzzy Implications / 7.2：
On the Equation I(S(x, y), z) = T(I(x, z), I(y, z)) / 7.2.1：
On the Equation I(T(x, y), z) = S(I(x, z), I(y, z)) / 7.2.2：
On the Equation I(x, T[subscript 1](y, z)) = T[subscript 2](I(x, y), I(x, z)) / 7.2.3：
On the Equation I(x, S[subscript 1](y, z)) = S[subscript 2](I(x, y), I(x, z)) / 7.2.4：
The Law of Importation / 7.3：
(S,N)-Implications and the Law of Importation / 7.3.1：
R-Implications and the Law of Importation / 7.3.2：
QL-Implications and the Law of Importation / 7.3.3：
f- and g-Implications and the Law of Importation / 7.3.4：
Fuzzy Implications and T-Conditionality / 7.4：
(S,N)-Implications and T-Conditionality / 7.4.1：
R-Implications and T-Conditionality / 7.4.2：
QL-Implications and T-Conditionality / 7.4.3：
Characterization through Functional Equations / 7.5：
Applicational Study of Fuzzy Implications / 7.6：
Fuzzy Implications in Approximate Reasoning / 8：
Approximate Reasoning / 8.1：
Classical Implication in Inference Schemas / 8.1.1：
Fuzzy Implication in Inference Schemas / 8.1.2：
Fuzzy IF-THEN Rules / 8.1.3：
Possibility Distribution / 8.2.1：
Fuzzy Statements / 8.2.2：
Inference Schemes in Approximate Reasoning / 8.2.3：
Generalized Modus Ponens (GMP) / 8.3.1：
Compositional Rule of Inference (CRI) / 8.3.2：
Inference in CRI with Multiple Rules / 8.3.3：
Similarity Based Reasoning (SBR) / 8.3.4：
Effectiveness of Inference Schemes in AR / 8.4：
GMP Rules and AR / 8.4.1：
Function Approximation and AR / 8.4.2：
Efficiency of Inference Schemes in AR / 8.5：
Modification of the CRI Inference Algorithm / 8.5.1：
Transformation of the Structure of the Rules / 8.5.2：
Appendix / 8.6：
Some Results on Real Functions / A：
References
List of Figures
List of Tables
Index
Preface
Notations and Some Preliminaries
An Introduction to Fuzzy Implications / 1：
6.
図書
Asli Celikyilmaz and I. Burhan Türksen
目次情報:
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Introduction / 1：
Motivation / 1.1：
Contents of the Book / 1.2：
Outline of the Book / 1.3：
Fuzzy Sets and Systems / 2：
Type-1 Fuzzy Sets and Fuzzy Logic / 2.1：
Characteristics of Fuzzy Sets / 2.2.1：
Operations on Fuzzy Sets / 2.2.2：
Fuzzy Logic / 2.3：
Structure of Classical Logic Theory / 2.3.1：
Relation of Set and Logic Theory / 2.3.2：
Structure of Fuzzy Logic / 2.3.3：
Approximate Reasoning / 2.3.4：
Fuzzy Relations / 2.4：
Operations on Fuzzy Relations / 2.4.1：
Extension Principle / 2.4.2：
Type-2 Fuzzy Sets / 2.5：
Interval Valued Type-2 Fuzzy Sets / 2.5.1：
Type-2 Fuzzy Set Operations / 2.5.3：
Fuzzy Functions / 2.6：
Fuzzy Systems / 2.7：
Extensions of Takagi-Sugeno Fuzzy Inference Systems / 2.8：
Adaptive-Network-Based Fuzzy Inference System (ANFIS) / 2.8.1：
Dynamically Evolving Neuro-Fuzzy Inference Method (DENFIS) / 2.8.2：
Genetic Fuzzy Systems (GFS) / 2.8.3：
Summary / 2.9：
Improved Fuzzy Clustering / 3：
Fuzzy Clustering Algorithms / 3.1：
Fuzzy C-Means Clustering Algorithm / 3.2.1：
Classification of Objective Based Fuzzy Clustering Algorithms / 3.2.2：
Fuzzy C-Regression Model (FCRM) Clustering Algorithm / 3.2.3：
Variations of Combined Fuzzy Clustering Algorithms / 3.2.4：
Improved Fuzzy Clustering Algorithm (IFC) / 3.3：
Improved Fuzzy Clustering Algorithm for Regression Models (IFC) / 3.3.1：
Improved Fuzzy Clustering Algorithm for Classification Models (IFC-C) / 3.3.3：
Justification of Membership Values of the IFC Algorithm / 3.3.4：
Two New Cluster Validity Indices for IFC and IFC-C / 3.4：
Overview of Well-Known Cluster Validity Indices / 3.4.1：
The New Cluster Validity Indices / 3.4.2：
Simulation Experiments [Celikyilmaz and Turksen, 2007i;2008c] / 3.4.3：
Discussions on Performances of New Cluster Validity Indices Using Simulation Experiments / 3.4.4：
Fuzzy Functions Approach / 3.5：
Proposed Type-1 Fuzzy Functions Approach Using FCM - T1FF / 4.1：
Structure Identification of FF for Regression Models (T1FF) / 4.3.1：
Structure Identification of the Fuzzy Functions for Classification Models (T1FF-C) / 4.3.2：
Inference Mechanism of T1FF for Regression Models / 4.3.3：
Inference Mechanism of T1FF for Classification Models / 4.3.4：
Proposed Type-1 Improved Fuzzy Functions with IFC - T1IFF / 4.4：
Structure Identification of T1IFF for Regression Models / 4.4.1：
Structure Identification of T1IFF-C for Classification Models / 4.4.2：
Inference Mechanism of T1IFF for Regression Problems / 4.4.3：
Inference with T1IFF-C for Classification Problems / 4.4.4：
Proposed Evolutionary Type-1 Improved Fuzzy Function Systems / 4.5：
Genetic Learning Process: Genetic Tuning of Improved Membership Functions and Improved Fuzzy Functions / 4.5.1：
Inference Method for ET1IFF and ET1IFF-C / 4.5.2：
Reduction of Structure Identification Steps of T1IFF Using the Proposed ET1IFF Method / 4.5.3：
Modeling Uncertainty with Improved Fuzzy Functions / 4.6：
Uncertainty / 5.1：
Conventional Type-2 Fuzzy Systems / 5.3：
Generalized Type-2 Fuzzy Rule Bases Systems (GT2FRB) / 5.3.1：
Interval Valued Type-2 Fuzzy Rule Bases Systems (IT2FRB) / 5.3.2：
Most Common Type-Reduction Methods / 5.3.3：
Discrete Interval Type-2 Fuzzy Rule Bases (DIT2FRB) / 5.3.4：
Discrete Interval Type-2 Improved Fuzzy Functions / 5.4：
Background of Type-2 Improved Fuzzy Functions Approaches / 5.4.1：
Discrete Interval Type-2 Improved Fuzzy Functions System (DIT2IFF) / 5.4.2：
The Advantages of Uncertainty Modeling / 5.5：
Discrete Interval Type-2 Improved Fuzzy Functions with Evolutionary Algrithms / 5.6：
Architecture of the Evolutionary Type-2 Improved Fuzzy Functions / 5.6.1：
Reduction of Structure Identification Steps of DIT2IFF Using New EDIT2IFF Method / 5.6.3：
Experiments / 5.7：
Experimental Setup / 6.1：
Overview of Experiments / 6.1.1：
Three-Way Sub-sampling Cross Validation Method / 6.1.2：
Measuring Models' Prediction Performance / 6.1.3：
Performance Evaluations of Regression Experiments / 6.1.3.1：
Performance Evaluations of Classification Experiments / 6.1.3.2：
Parameters of Benchmark Algorithms / 6.2：
Support Vector Machines (SVM) / 6.2.1：
Artificial Neural Networks (NN) / 6.2.2：
Discrete Interval Valued Type-2 Fuzzy Rule Base (DIT2FRB) / 6.2.3：
Genetic Fuzzy System (GFS) / 6.2.6：
Logistic Regression, LR, Fuzzy K-Nearest Neighbor, FKNN / 6.2.7：
Parameters of Proposed Fuzzy Functions Algorithms / 6.3：
Fuzzy Functions Methods / 6.3.1：
Imporoved Fuzzy Functions Methods / 6.3.2：
Analysis of Experiments - Regression Domain / 6.4：
Friedman's Artificial Domain / 6.4.1：
Auto-mileage Dataset / 6.4.2：
Desulphurization Process Dataset / 6.4.3：
Stock Price Analysis / 6.4.4：
Proposed Fuzzy Cluster Validity Index Analysis for Regression / 6.4.5：
Analysis of Experiments - Classification (Pattern Recognition) Domains / 6.5：
Classification Datasets from UCI Repository / 6.5.1：
Classification Dataset from StatLib / 6.5.2：
Results from Classification Datasets / 6.5.3：
Proposed Fuzzy Cluster Validity Index Analysis for Classification / 6.5.4：
Performance Comparison Based on Elapsed Times / 6.5.5：
Overall Discussions on Experiments / 6.6：
Overall Comparison of System Modeling Methods on Regression Datasets / 6.6.1：
Overall Comparison of System Modeling Methods on Classification Datasets / 6.6.2：
Summary of Results and Discussions / 6.7：
Conclusions and Future Work / 7：
General Conclusions / 7.1：
Future Work / 7.2：
References
Appendix
Set and Logic Theory - Additional Information / A.1：
Fuzzy Relations (Composition) - An Example / A.2：
Proof of Fuzzy c-Means Clustering Algorithm / B.1：
Proof of Improved Fuzzy Clustering Algorithm / B.2：
Artificial Neural Networks ANNs) / C.1：
Support Vector Machines / C.2：
Genetic Algorithms / C.3：
Multiple Linear Regression Algorithms with Least Squares Estimation / C.4：
Logistic Regression / C.5：
Fuzzy K-Nearest Neighbor Approach / C.6：
T-Test Formula / D.1：
Friedman's Artificial Dataset: Summary of Results / D.2：
Auto-mileage Dataset: Summary of Results / D.3：
Desulphurization Dataset: Summary of Results / D.4：
Stock Price Datasets: Summary of Results / D.5：
Classification Datasets: Summary of Results / D.6：
Cluster Validity Index Graphs / D.7：
Classification Datasets - ROC Graphs / D.8：
Introduction / 1：
Motivation / 1.1：
Contents of the Book / 1.2：
7.
図書
edited by Taina Simoinen and Maija Tenkanen ; Organised by VTT Biotechnology, TNO Nutrition and Food Research Institute
出版情報:
Espoo : Valtion Teknillinen Tutkimuskeskus, c2000 340 p. ; 30 cm
シリーズ名:
VTT Symposium ; 207
子書誌情報:
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8.
図書
edited by Simon Biggs, Terence Cosgrove, Peter Dowding
目次情報:
続きを見る
A Journey Through Colloid Science / Brian VincentChapter 1：
Early Days / 1.1：
Novel Colloidal Systems / 1.2：
Particle Synthesis / 1.2.1：
Particles with Terminally Grafted Polymer Chains / 1.2.2：
Electrically Conducting Particles / 1.2.3：
Microemulsions Based on Block or Graft Copolymers / 1.2.4：
Monodisperse Liquid Droplets / 1.2.5：
Liquid Core-Solid Shell Particles / 1.2.6：
Microgel Particles / 1.2.7：
Particle Interactions / 1.3：
Electrostatic Interactions / 1.3.1：
Polymers at Interfaces and Steric Interactions / 1.3.2：
Depletion Interactions / 1.3.3：
Interactions in Mixed Particle Systems / 1.3.4：
Deposition of Particles on Flat Surfaces / 1.3.5：
Concluding Remarks / 1.4：
References
Synthesis of Poly(N-isopropylacrylamide) Microgel Particles Containing Gold Nanoshell Cores with Potential for Triggered De-swelling / Paul Luckham ; Carlo Strazza ; Pierre Bussierre ; Paulo Nassari ; Neil PatelChapter 2：
Introduction / 2.1：
Materials and Methods / 2.2：
Preparation of Silica Particles / 2.2.1：
Preparation of Positively Charged Silica Particles / 2.2.2：
Preparation of Gold Nanoparticles / 2.2.3：
Attachment of Gold Nanoparticles to Silica Cores / 2.2.4：
Growth of Gold Nanoshells / 2.2.5：
Synthesis of Hydrogel-coated Gold or Gold Nanoshells / 2.2.6：
Results and Discussion / 2.3：
Adsorption of Gold Nanoparticles onto Positively Charged Silica Particles / 2.3.1：
Polymer Chemistry, Hypervelocity Physics and the Cassini Space Mission / Steven P. Armes2.4：
Organic Conducting Polymers / 3.1：
Synthesis and Properties of Polypyrrole / 3.3：
Hypervelocity Acceleration Experiments / 3.4：
Do Plasma Mass Spectra Originate from the Latex Core or the Shell? / 3.5：
Kinetic Energy of a Hypervelocity Impact / 3.6：
The Cassini Space Mission and the CDA Detector / 3.7：
Four Classes of Micrometeorites / 3.8：
What is the Nature of the Volcanic Activity on Io? / 3.9：
Latex Mimics for Sulfur-rich Micrometeorites / 3.10：
Conclusions / 3.11：
Acknowledgements
From Novel Monodisperse "Silicone Oil"/Water Emulsions to Drug Delivery / Clive A. PrestidgeChapter 4：
Background / 4.1：
Interaction Forces and Deformation of PDMS Droplets / 4.2：
Rheological Behaviour of Concentrated Emulsions of PDMS Droplets / 4.4：
Polymers at Silicone Droplet Interfaces / 4.5：
Nanoparticles at PDMS Droplets / 4.6：
Towards a Drug Delivery System / 4.7：
Polymers and Surfactants at Interfaces: Colloidal Lego for Nanotechnology / Simon Biggs4.8：
Self-assembly of Block Copolymers and the Formation of 'Smart Nanoparticles' / 5.1：
Adsorption of Block Copolymer Micelles at the Aqueous-Solid Interface / 5.3：
Responsive and Functional Surfaces / 5.4：
Multilayer Coatings, Particles and Capsules / 5.5：
Polymer Depletion: Recent Progress for Polymer/Colloid Phase Diagrams / Gerard Fleer5.6：
Theory / 6.1：
System and System Parameters / 6.2.1：
Thermodynamics / 6.2.2：
Some Illustrations / 6.2.3：
Results / 6.3：
Nanobubbles, Dissolved Gas, Boundary Layers and Related Mysterious Effects in Colloid Stability / John Ralston6.4：
Stability Ratio as a Function of Dissolved Gas and Hydrophobicity / 7.1：
Colloid Stability Analysis / 7.2.2：
TMAFM Imaging / 7.2.3：
Images of Bubble Coalescence / 7.2.4：
Nature of Domains / 7.2.5：
Bubble Formation on Solid-Water Interfaces / 7.2.6：
Contact Angles and Line Tension / 7.2.7：
Kinetics of CO[subscript 2] Gas Adsorption Using a QCM / 7.2.8：
Acknowledgement / 7.3：
Heteroflocculation Studies of Colloidal Poly(N-isopropylacrylamide) Microgels with Polystyrene Latex Particles: Effect of Particle Size, Temperature and Surface Charge / Martin J. Snowden ; Louise H. Gracia ; Hani NurChapter 8：
Introduction and Background / 8.1：
Heteroflocculation Studies / 8.1.1：
Experimental / 8.2：
Microgel Synthesis / 8.2.1：
Dry Weight Analysis / 8.2.2：
Preparation of Anionic Polystyrene Latex and Cationic Microgel Mixed Dispersions / 8.2.3：
Dynamic Light Scattering / 8.2.4：
Electrophoretic Mobility and Zeta Potential Measurements / 8.2.5：
Turbidimetric Analysis / 8.2.6：
Scanning Electron Microscopy (SEM) / 8.2.7：
Scanning Electron Microscopy / 8.3：
Characterisation of Anionic PS Latex Particles / 8.3.2：
Heteroflocculation of Microgel/Latex Mixtures / 8.3.3：
Surface Modification, Encapsulation and Coating: A Career Built on Graft / David Fairhurst8.4：
The Early Years: Colloid Science, Zeta Potential and Polymers / 9.1：
The Dark Side: Black Boxes, Sunscreens and Hope-in-a-Bottle / 9.2：
Back to the Future: Colloid Science, Vaccines, Microbicides and HIV/AIDS / 9.3：
Subject Index / 9.4：
A Journey Through Colloid Science / Brian VincentChapter 1：
Early Days / 1.1：
Novel Colloidal Systems / 1.2：
9.
図書
edited by Ibolya Molnár-Perl
目次情報:
続きを見る
Amino Acids / Part 1：
Gas Chromatography / 1.1：
Quantitation of Amino Acids as Chloroformates - A Return to Gas Chromatography / Petr Husek1.1.1：
Quantitation of Amino Acids by Gas-Liquid Chromatography / Charles W. Gehrke1.1.2：
Chiral separations of Amino Acids by Gas Chromatography / Ralf Patzold ; Hans Bruckner1.1.3：
High Performance Liquid Chromatography / 1.2：
HPLC of Amino Acids without Derivatization / Claire Elfakir1.2.1：
HPLC of Amino Acids as Phenylthiocarbamoyl Derivatives / Ibolya Molnar-Perl1.2.2：
HPLC of Amino Acids as o-Phthalaldehyde Derivatives / 1.2.3：
HPLC of Amino Acids as Chloroformate Derivatives / Bjorn Josefsson1.2.4：
HPLC of Amino Acids as Dansyl and Dabsyl Derivatives / Toyohide Takeuchi1.2.5：
Quantitation of Amino Acids as 6-Aminoquinolyl-N-hydroxysuccinimidyl Carbamate Derivatives / Steven A. Cohen1.2.6：
Capillary Electrophoresis/Capillary Electrochromatography / 1.3：
Determination of Underivatized Amino Acids by Capillary Electrophoresis and Capillary Electrochromatography / Christian W. Klampfl1.3.1：
Quantitation of Amino Acids as o-Phthalaldehyde derivatives / Shigeyuki Oguri1.3.2：
Capillary Electrophoresis and Capillary Electrochromatography of Amino Acids as Dansyl Derivatives / Zilin Chen1.3.3：
Amines / Part 2：
Gas Chromatographic Determination of Volatile Aliphatic and Selected Aromatic Amines, without Derivatization: Solid Phase Microextraction / Jacek Namiesnik ; Bogdan Zigmunt2.1：
Gas Chromatography of Amines as Various Derivatives / Hiroyuki Kataoka2.1.2：
HPLC of Amines as o-Phthalaldehyde Derivatives / 2.2：
Quantitation by HPLC of Amines as Dansyl Derivatives / Manuel Silva2.2.2：
HPLC of Amines as 9-Fluorenylmethyl Chloroformate Derivatives / Paul Chi Ho2.2.3：
HPLC of Biogenic Amines as 6-Aminoquinolyl-N-hydroxysuccinimidyl Derivatives / Thomas Weiss2.2.4：
Determination of Underivatized Amines by CE and CEC / 2.3：
Quantitation of Amines by Oncolumn Derivatives with o-Phthalaldehyde by CEC / 2.3.2：
Quantitation of Amino Acids and Amines, Simultaneously / 3：
Quantitation of Polyamines by Chromatography / Ynze Mengerink4：
Amino Acids / Part 1：
Gas Chromatography / 1.1：
Quantitation of Amino Acids as Chloroformates - A Return to Gas Chromatography / Petr Husek1.1.1：
10.
図書
edited by S. Denis ... [et al.]
11.
図書
Kofi Kissi Dompere
目次情報:
続きを見る
Fuzzy Rationality, Uncertainty and Expectations / 1：
Expectations and Rationality / 1.1：
Information, Knowledge and Uncertainty / 1.1.1：
Explications of Possibility and Probability in Decision-Choice Rationality / 1.1.2：
Rationality, Expectations and Uncertainty / 1.2：
Fuzzy Rationality and Classical Sub-optimal Rationality / 2：
The Relationship Between Fuzzy Optimal Rationality and Classical Sub-rationality / 2.1：
Fuzzification, Defuzzification and Fuzzy Rationality / 2.2：
Fuzzification in General Fuzzy Rationality / 2.2.1：
A Note on Real Number System, Fuzzy Number System and Fuzzy Rationality / 2.2.2：
Defuzzification, Fuzzy Rationality and Classical Rationality / 2.2.3：
Fuzzy Optimal Rationality, Contradiction and Cost-Benefit Rationality / 2.3：
Fuzzy Optimal Rationality and the Theory of Contradiction / 2.3.1：
Cost-Benefit Rationality and Fuzzy Optimal Rationality / 2.3.2：
Fuzzy Rationality, Ambiguity and Risk in Decision-Choice Process / 3：
Ambiguity, Probability and Decision / 3.1：
The Epistemic Analyses of the Decision-Choice Cohorts / 3.2：
Cohort I: Non-fuzzy and Non-stochastic Decision-Choice Systems / 3.2.1：
Cohort II: Non-fuzzy and Stochastic Decision-Choice Systems / 3.2.2：
Cohort III: Fuzzy and Non-stochastic Decision-Choice System / 3.2.3：
Cohort IV: Fuzzy and Stochastic Decision-Choice System / 3.2.4：
The Organic Paradigm of Decision-Choice Theories / 3.3：
A Brief Reflection on Optimal Rationality in Economics and Psychology / 3.4：
Epistemics of Risk and Optimal Decision-Choice Rationality / 4：
Introduction / 4.1：
The Conceptual-Measurement Problem of Information, Uncertainty and Risk / 4.2：
Epistemic Definitions of Uncertainty and Risk / 4.3：
Accident, Necessity and the Knowledge-Risk Squares / 4.4：
Risk, Freedom and Decision-Choice Rationality / 4.5：
Freedom under Uncertainty and Risk / 4.5.1：
The Principle of Compatibility of Necessity and Freedom / 4.5.2：
Reflections on Some Decision-Choice Theories on Uncertainty and Risk / 5：
The Classical Decision-Choice Theories under Stochastic Uncertainty and Risk / 5.1：
Principle of Insufficient Reason, Principle of Sufficient Reason and Uncertainty-Risk Decision-Choice Theories / 5.2：
Conceptual Foundations of Fuzzy Risk and the Decision-Choice Rationality / 5.3：
Risk Engineering, Risk Bearing and Decision-Choice Rationality / 5.4：
Social Risk Engineering / 5.4.1：
Natural Risk Engineering / 5.4.2：
Costs-Benefit Rationality, Risk-Taking and Risk-Engineering / 5.5：
Fuzzy Decision-Choice Rationality and Paradoxes in Decision-Choice Theories / 6：
The Four Structures of Decision-Choice Rationality / 6.1：
Fuzzy Decision-Choice Rationality and the Arrow's Paradox (Impossibility Theorem) / 6.2：
Fuzzy Optimal Decision-Choice Rationality, Utility Theory, Probability and Paradoxes / 6.3：
The Ellsberg Paradox and Savage Axioms / 6.3.1：
A Fuzzy Reflection on Some Suggested Resolutions of Ellsberg Paradox / 6.3.2：
Fuzzy Optimal Rationality and Ellsberg Decision-Choice Experiment / 6.3.3：
A Numerical Example for the Ellsberg's Experiment / 6.4：
Fuzzy Optimal Decision-Choice Rationality, Other Decision Paradoxes and Paradoxes in General / 6.5：
References
On Aggregation and Rationality / R1：
Cost-Benefit Rationality and Decision-Choice Processes / R2：
On Cost-Benefit Rationality and Accounting Theory / R2.1：
On Cost-Benefit Rationality and Real Economic Costing / R2.2：
On Cost-Benefit Rationality and Decision-Choice Criteria / R2.3：
On Cost-Benefit Rationality and Pricing / R2.4：
On Cost-Benefit Rationality and Discounting / R2.5：
Cost-Benefit Rationality and Contingent Valuation Method (CVM) / R2.6：
Cost-Benefit Rationality and the Revealed Preference Approach (RPA) / R2.7：
On Rationality and Social Decision-Choice Process / R3：
On Expectations, Uncertainty and Rationality / R4：
On Decision-Choice Process, Fuzziness and Rationality / R5：
On Fuzzy Decisions, Applications and Rationality / R6：
On Game Theory, Risk Analysis. Fuzziness and Rationality / R7：
On Fuzzy Logic and Rationality / R8：
On Fuzzy Optimization and Decision-Choice Rationality / R9：
On Fuzzy Mathematics and Optimal Rationality / R10：
On Fuzzy Probability, Fuzzy Random Variable and Random Fuzzy Variable / R11：
On Rationality and General Decision-Choice Processes / R12：
On Rationality, Ideology and Decision-Choice Process / R13：
On Rationality, Information and Knowledge / R14：
Rationality and Category Theory in Mathematics, Logic and Sciences / R15：
On Rationality, Probabilistic Concepts and Reasoning / R16：
On Classical Rationality, Optimality and Equilibrium / R17：
On Bounded Rationality / R18：
On Rationality, Information, Games and Decision-Choice Conflicts / R19：
On Rationality and Philosophy of Science / R20：
On Rationality, Riskiness, Decision-Choice Process and Paradoxes / R21：
On Theories of Utility and Expected Utility / R22：
On Vagueness and Approximation / R23：
On Rationality, Prescriptive Science and Theory of Planning / R24：
Index
Fuzzy Rationality, Uncertainty and Expectations / 1：
Expectations and Rationality / 1.1：
Information, Knowledge and Uncertainty / 1.1.1：
12.
図書
editors, Dieter Armbruster, Kunihiko Kaneko, Alexander S. Mikhailov
目次情報:
続きを見る
Preface
Continuum Models for Interacting Machines / Dieter Armbruster ; Pierre Degond ; Christian Ringhofer1：
Introduction / 1.1：
Heuristic Models / 1.2：
Quasistatic Models / 1.2.1：
Advection-Diffusion Equations / 1.2.2：
Policies and Bottlenecks / 1.2.3：
Dispatch Rules / 1.2.3.1：
Bottlenecks and Maximal Capacities / 1.2.3.2：
First Principle Models / 1.3：
Kinetic Models / 1.3.1：
Deterministic Kinetic Models / 1.3.2：
Stochasticity and Diffusion / 1.3.3：
Conclusions / 1.4：
References
Supply and Production Networks: From the Bullwhip Effect to Business Cycles / Dirk Helbing ; Stefan Lammer2：
Input-Output Model of Supply Networks / 2.1：
Adaptation of Production Speeds / 2.2.1：
Modelling Sequential Supply Chains / 2.2.2：
More Detailed Derivation of the Production Dynamics / 2.2.3：
Dynamic Solution and Resonance Effects / 2.2.4：
The Bullwhip Effect / 2.2.5：
Network Effects / 2.3：
General Methods of Solution / 2.3.1：
Examples of Supply Networks / 2.3.2：
Network-Induced Business Cycles / 2.4：
Treating Producers Analogous to Consumers / 2.4.1：
Reproduction of Some Empirically Observed Features of Business Cycles / 2.5：
Dynamic Behaviors and Stability Thresholds / 2.5.1：
Summary / 2.6：
Future Research Directions / 2.7：
Network Engineering / 2.7.1：
Cyclic Dynamics in Biological Systems / 2.7.2：
Heterogeneity in Production Networks / 2.7.3：
Multi-Goal Control / 2.7.4：
Non-Linear Dynamics and Scarcity of Resources / 2.7.5：
Appendix A
Boundary between Damped and Growing Oscillations / 2.8：
Boundary between Damped Oscillations and Overdamped Behavior / 2.9：
Managing Supply-Demand Networks in Semiconductor Manufacturing / Karl Kempf3：
Introduction to Supply-Demand Networks / 3.1：
Examples from the Semiconductor Manufacturing / 3.2：
A Product-Centric Perspective / 3.2.1：
A Facilities-Centric Perspective / 3.2.2：
Repetitive Decisions / 3.2.3：
Combinatorial Complexity / 3.2.4：
Complexity from Supply Stochasticity / 3.2.5：
Complexity from Demand Stochasticity / 3.2.6：
Complexity from Nonlinearity / 3.2.7：
Financial Complexity / 3.2.8：
Managing Supply-Demand Networks / 3.3：
A Capacity Planning Formulation / 3.3.1：
An Inventory Planning Formulation / 3.3.2：
Integrating Capacity and Inventory Planning / 3.3.3：
A Tactical Execution Formulation / 3.3.4：
Simulation Support / 3.3.5：
Modelling Manufacturing Systems for Control: A Validation Study / Erjen Lefeber ; Roel van den Berg ; J.E. Rooda3.4：
Preliminaries / 4.1：
Effective Process Times (EPT's) / 4.3：
Control Framework / 4.4：
Approximation Model / 4.4.1：
Model Predictive Control (MPC) / 4.4.2：
Control Framework (revisited) / 4.4.3：
Modelling Manufacturing Systems / 4.5：
Validation of PDE-Models / 4.6：
Manufacturing Systems / 4.6.1：
PDE-Models / 4.6.2：
Validation Study / 4.6.3：
Concluding Remarks / 4.7：
Adaptive Networks of Production Processes / Adam Ponzi5：
Review of von-Neumann Model / 5.1：
Dynamical Production Model / 5.3：
Model Behaviour / 5.4：
Single Process in Fixed Environment / 5.4.1：
Multiple Timescales / 5.4.2：
Complex Dynamics / 5.4.3：
Network Structure / 5.4.4：
Discussion / 5.5：
Universal Statistics of Cells with Recursive Production / Kunihiko Kaneko ; Chikara Furusawa6：
Question to be Addressed / 6.1：
Logic / 6.2：
Model / 6.3：
Zipf Law / 6.4：
Log-Normal Distribution / 6.5：
Experiment / 6.6：
Confirmation of Zipf Law / 6.6.1：
Confirmation of Laws on Fluctuations / 6.6.1.1：
Intracellular Networks of Interacting Molecular Machines / Alexander S. Mikhailov6.7：
Networks of Protein Machines / 7.1：
Coherent Molecular Dynamics / 7.3：
Mean-Field Approximation / 7.4：
Further Theoretical Developments / 7.5：
Coherence in Cross-Coupled Dynamical Networks / 7.6：
Cell is Noisy / Tatsuo Shibata7.7：
Origin of Molecular Noise / 8.1：
Stochastic Gene Expression / 8.3：
Noise in Single Gene Expression / 8.3.1：
Attenuating Gene Expression Noise by Autoregulation / 8.3.2：
Noisy Signal Amplification in Signal Transduction Reactions / 8.4：
Propagation of Noise in Reaction Networks / 8.5：
Outlook / 8.6：
An Intelligent Slime Mold: A Self-Organizing System of Cell Shape and Information / Tetsuo Ueda9：
The True Slime Molds, Like Nothing on Earth / 9.1：
Cell Motility and Cell Behavior by the Plasmodium / 9.2：
Cell Motility / 9.2.1：
Chemotaxis / 9.2.2：
Sensing and Transduction / 9.2.3：
Search for Second Messengers / 9.2.4：
Integration of Sensed Information in Chemotaxis / 9.3：
A Model for Integration / 9.3.1：
Collective Dynamics of Coupled Oscillators in Cell Behavior / 9.4：
The Response to External Stimulation / 9.4.1：
Alteration of the Judgment by Oscillatory Stimulation through Entrainment / 9.4.2：
Correspondence of Tactic Behavior with Contractility / 9.4.3：
Bifurcation of Dynamic States in the Feeding Behavior by the Placozoan / 9.4.4：
Chemical Oscillations as a Basis for the Rhythmic Contraction / 9.5：
Transition of Chemical Patterns Accompanying the Selection of Cell Behavior / 9.6：
Theory of Cell Behavior in Terms of Dissipative Structure / 9.6.1：
Link to the Organization of Cytoskeleton and Chemical Pattern / 9.6.2：
Computing by Changing Cell Shape / 9.7：
Solving a Maze Problem / 9.7.1：
Solving the Steiner Problem / 9.7.2：
Formation of Veins by External Oscillation / 9.7.3：
Fragmentation of the Plasmodium: Control of Cell Size / 9.8：
Thermo-Fragmentation / 9.8.1：
Photofragmentation and its Photosystem / 9.8.2：
Memory Effects and Morphogen: Phytochrome as Morphogen in the Fragmentation / 9.9：
Locomotion / 9.10：
Allometry in Locomotion Velocity / 9.10.1：
Correlation of Oscillations During Directional Movement / 9.10.2：
The Emergence of the Rhythmic Streaming / 9.11：
Time Order Among Multiple Rhythms in the Plasmodium / 9.12：
Long-Term Changes in Cell Shape of the Plasmodium / 9.12.1：
Multiple Oscillations / 9.12.2：
Concluding Remarks as Future Prospects / 9.13：
Communication and Structure within Networks / Kim Sneppen ; Martin Rosvall ; Ala Trusina10：
An Economy for Exchange of Social Contacts / 10.1：
Limited Information Horizons in Complex Networks / 10.3：
Conclusion / 10.4：
Preface
Continuum Models for Interacting Machines / Dieter Armbruster ; Pierre Degond ; Christian Ringhofer1：
Introduction / 1.1：
13.
雑誌
Royal Society of Chemistry (Great Britain)
出版情報:
Cambridge : Royal Society of Chemistry, c2000-c2002 3 v. ; 30 cm
巻次年月次:
2000, no. 1 (Jan. 2000)-2002, no. 12 (Dec. 2002)
子書誌情報:
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14.
図書
James J. Buckley
目次情報:
続きを見る
Introduction / 1：
Notation / 1.1：
Previous Research / 1.3：
Figures / 1.4：
Maple/Solver Commands / 1.5：
References / 1.6：
Fuzzy Sets / 2：
Fuzzy Numbers / 2.1：
Alpha-Cuts / 2.2.2：
Inequalities / 2.2.3：
Discrete Fuzzy Sets / 2.2.4：
Fuzzy Arithmetic / 2.3：
Extension Principle / 2.3.1：
Interval Arithmetic / 2.3.2：
Fuzzy Functions / 2.3.3：
Alpha-Cuts and Interval Arithmetic / 2.4.1：
Differences / 2.4.3：
Ordering Fuzzy Numbers / 2.5：
Fuzzy Probability Theory / 2.6：
Fuzzy Probabilities from Confidence Intervals / 3.1：
Fuzzy Probabilities from Expert Opinion / 3.3：
Restricted Fuzzy Arithmetic / 3.4：
Probabilities / 3.4.1：
Restricted Arithmetic: General / 3.4.2：
Computing Fuzzy Probabilities / 3.4.3：
Fuzzy Probability / 3.5：
Fuzzy Conditional Probability / 3.6：
Fuzzy Independence / 3.7：
Fuzzy Bayes' Formula / 3.8：
Applications / 3.9：
Blood Types / 3.9.1：
Resistance to Surveys / 3.9.2：
Testing for HIV / 3.9.3：
Color Blindness / 3.9.4：
Fuzzy Bayes / 3.9.5：
Discrete Fuzzy Random Variables / 3.10：
Fuzzy Binomial / 4.1：
Fuzzy Poisson / 4.3：
Fuzzy Poisson Approximating Fuzzy Binomial / 4.4：
Overbooking / 4.4.2：
Rapid Response Team / 4.4.3：
Continuous Fuzzy Random Variables / 4.5：
Fuzzy Uniform / 5.1：
Fuzzy Normal / 5.3：
Fuzzy Negative Exponential / 5.4：
Fuzzy Normal Approximation to Fuzzy Binomial / 5.5：
Fuzzy Normal Approximation to Fuzzy Poisson / 5.5.3：
Estimate [mu], Variance Known / 5.5.4：
Fuzzy Estimation / 6.1：
Fuzzy Estimator of [mu] / 6.3：
Estimate [mu], Variance Unknown / 6.4：
Estimate p, Binomial Population / 7.1：
Fuzzy Estimator of p / 8.1：
Estimate [sigma superscript 2] from a Normal Population / 8.2：
Biased Fuzzy Estimator / 9.1：
Unbiased Fuzzy Estimator / 9.3：
Fuzzy Arrival/Service Rates / 9.4：
Fuzzy Arrival Rate / 10.1：
Fuzzy Service Rate / 10.3：
Fuzzy Estimators / 10.4：
Details / 11.2.1：
Fuzzy Max Entropy Principle / 11.3：
Maximum Entropy Principle / 12.1：
Discrete Probability Distributions / 12.2.1：
Continuous Probability Distributions / 12.2.2：
Imprecise Side-Conditions / 12.3：
Summary and Conclusions / 12.3.1：
Max Entropy: Crisp Discrete Solutions / 12.5：
Max Entropy: Discrete Distributions / 13.1：
Max Entropy: Imprecise Side-Conditions / 13.3：
Max Entropy: Crisp Continuous Solutions / 13.4：
Max Entropy: Probability Densities / 14.1：
E = [0, M] / 14.3：
E = [0, [infinity]) / 14.5：
E = (-[infinity], [infinity]) / 14.6：
Tests on [mu], Variance Known / 14.7：
Non-Fuzzy Case / 15.1：
Fuzzy Case / 15.3：
One-Sided Tests / 15.4：
Tests on [mu], Variance Unknown / 15.5：
Crisp Case / 16.1：
Fuzzy Model / 16.3：
T[[alpha]] for Non-Positive Intervals / 16.3.1：
Tests on p for a Binomial Population / 16.4：
Non-Fuzzy Test / 17.1：
Fuzzy Test / 17.3：
Tests on [sigma superscript 2], Normal Population / 17.4：
Crisp Hypothesis Test / 18.1：
Fuzzy Hypothesis Test / 18.3：
Fuzzy Correlation / 18.4：
Crisp Results / 19.1：
Fuzzy Theory / 19.3：
Estimation in Simple Linear Regression / 19.4：
Fuzzy Prediction in Linear Regression / 20.1：
Prediction / 21.1：
Hypothesis Testing in Regression / 21.2：
Tests on a / 22.1：
Tests on b / 22.3：
Estimation in Multiple Regression / 22.4：
Fuzzy Prediction in Regression / 23.1：
Tests on c / 24.1：
Fuzzy One-Way ANOVA / 25.4：
Fuzzy Two-Way ANOVA / 26.1：
Crisp Hypothesis Tests / 27.1：
Fuzzy Hypothesis Tests / 27.3：
Fuzzy Estimator for the Median / 27.4：
Crisp Estimator for the Median / 28.1：
Fuzzy Estimator / 28.3：
Reference / 28.4：
Random Fuzzy Numbers / 29：
Tests for Randomness / 29.1：
RNGenerator / 29.3.1：
RNAnalysis / 29.3.2：
Monte Carlo Study / 29.4：
Selected Maple/Solver Commands / 29.5：
SOLVER / 30.1：
Example 13.3.1 / 30.2.1：
Example 13.3.2 / 30.2.2：
Example 13.3.3 / 30.2.3：
Example 13.3.4 / 30.2.4：
Problems / 30.2.5：
Maple / 30.3：
Chapter 3 / 30.3.1：
Chapter 4 / 30.3.2：
Chapter 5 / 30.3.3：
Chapter 6 / 30.3.4：
Chapter 7 / 30.3.5：
Chapter 8 / 30.3.6：
Chapter 9 / 30.3.7：
Chapter 10 / 30.3.8：
Chapters 11-13 / 30.3.9：
Chapter 14 / 30.3.10：
Chapter 15 / 30.3.11：
Chapter 16 / 30.3.12：
Chapter 17 / 30.3.13：
Chapter 18 / 30.3.14：
Chapter 19 / 30.3.15：
Chapter 20 / 30.3.16：
Chapter 21 / 30.3.17：
Chapter 22 / 30.3.18：
Chapter 23 / 30.3.19：
Chapter 24 / 30.3.20：
Chapter 25 / 30.3.21：
Chapter 26 / 30.3.22：
Chapter 27 / 30.3.23：
Chapter 28 / 30.3.24：
Chapter 29 / 30.3.25：
Summary and Future Research / 30.4：
Summary / 31.1：
Future Research / 31.2：
Unbiased Fuzzy Estimators / 31.2.1：
Comparing Fuzzy Numbers / 31.2.3：
No Decision Conclusion / 31.2.4：
Fuzzy Prediction / 31.2.5：
Fuzzy ANOVA / 31.2.8：
Nonparametric Statistics / 31.2.9：
Randomness Tests Fuzzy Numbers / 31.2.10：
Future / 31.2.11：
Index / 31.3：
List of Figures
List of Tables
Introduction / 1：
Notation / 1.1：
Previous Research / 1.3：
15.
図書
Berndt Feuerbacher, Heinz Stoewer (eds.)
目次情報:
続きを見る
Space: Beyond the Horizon
Space Utilization / Berndt Feuerbacher1：
Space Has Changed Our Life / 1.1：
The Development of Space Utilization / 1.2：
The Technology Race / 1.2.1：
Scientific Exploration / 1.2.2：
Early Commercial Utilization / 1.2.3：
Exploitation in the Service of Society / 1.2.4：
Space Qualities for Utilization / 1.3：
Unique Viewing Positions / 1.3.1：
Local Presence in Space / 1.3.2：
The Space Environment / 1.3.3：
Global and Cosmic Dimensions / 1.3.4：
Concluding Remarks / 1.4：
Access to Space - the Prerequisites for Space Utilization / Heinz Stoewer2：
Launch Vehicles / 2.1：
The Pioneers - from Goddard and the V2 to Saturn and Apollo / 2.1.1：
Expendable Launch Vehicles - Today's Fleet / 2.1.2：
Reusable Launch Vehicles - Space Shuttle and Beyond / 2.1.3：
Rockets for Space Utilization - Summary / 2.1.4：
Spacecraft and Satellites / 2.2：
Spacecraft Classes - a Variety Store / 2.2.1：
Spacecraft Housekeeping Functions / 2.2.2：
Payloads and Instruments / 2.2.3：
Space Stations (Human Space Laboratories) / 2.3：
Ground Support Centers / 2.4：
Enabling Competences / 2.5：
Project Management / 2.5.1：
Systems Engineering / 2.5.2：
Product Assurance / 2.5.3：
The Technology Base / 2.6：
Conclusions / 2.7：
Looking down: our Earth
The Earth, Surface / Stefan Dech3：
Sensing the Earth Surface / 3.1：
Remote Sensing Basics / 3.2：
Optical Remote Sensing / 3.2.1：
Radar Remote Sensing / 3.2.2：
Processing Data to Information / 3.2.3：
Managing Data and Products / 3.2.4：
State-of-the-Art Applications / 3.3：
The Land Surface / 3.3.1：
The Oceans and the Cryosphere / 3.3.2：
Security, Disaster Management and Humanitarian Aid / 3.3.3：
Future Developments / 3.4：
Climate and Environment / Hartmut Grabl4：
The Earth System Components / 4.1：
Component Interactions / 4.1.1：
Changes in Atmospheric Composition since Industrialization began / 4.1.2：
Variability versus Change / 4.1.3：
Advantages of Earth Observation from Space / 4.1.4：
Detection of Changes in Global Biogeochemical Cycles / 4.1.5：
Earth System Analysis and Sustainability / 4.1.6：
Challenges for Climate and Environmental Monitoring / 4.2：
First Challenge: Calibrated Global Data Sets / 4.2.1：
Second Challenge: Assimilation of Remote Sensing Data into Earth System Models / 4.2.2：
Third Challenge: Evaluation of Satellite Series for Environmental and Climate Monitoring / 4.2.3：
Fourth Challenge: Multisatellite and Multisensor Evaluation / 4.2.4：
Variability of Biospheric and Climate Parameters from Space / 4.3：
Cloudiness / 4.3.1：
Ocean Surface parameters / 4.3.2：
Vegetation Period / 4.3.3：
Emerging New Parameters / 4.4：
Carbon Dioxide Column Content / 4.4.1：
Aerosol Optical Depth / 4.4.2：
Other Trace Gas Column Contents / 4.4.3：
Early Detection of High Impact Cyclones over Sea / 4.4.4：
First Studies of Environmental and Climate Change Using Satellite Data / 4.5：
The Cryosphere / 4.5.1：
Ozone depletion / 4.5.2：
Air Pollution Effects / 4.5.3：
Northward Shift of Vegetation / 4.5.4：
The Transition to Earth Watch Missions for Successful Explorer Missions / 4.6：
Earth Observing Systems Development / 4.6.1：
Operational Environmental Satellites / 4.6.2：
European Contribution and Leadership in Earth Observation / 4.6.3：
Conclusion / 4.7：
Proper Mix of Explorative and Operational Missions / 4.7.1：
Global Data Sets as Basis for Environmental Policies / 4.7.2：
Scenarios of Earth System Development / 4.7.3：
Final Remark / 4.8：
Weather Observations from Space / Tillmann Mohr ; Johannes Schmetz5：
The Need to Observe the Changing Weather / 5.1：
The Global Meteorological Satellite Observing System / 5.2：
Retrieval of Geophysical Parameters from Satellites / 5.2.1：
Observing the Atmosphere / 5.3：
Clouds / 5.3.1：
Temperature and Humidity / 5.3.2：
Atmospheric Winds / 5.3.3：
Doppler Wind Lidar / 5.3.4：
Ocean-Surface Winds / 5.3.5：
Precipitation / 5.3.6：
Aerosols and Trace Gases / 5.3.7：
Applications in Weather Forecasting / 5.4：
Nowcasting Severe Weather / 5.4.1：
Numerical Weather Prediction / 5.4.2：
Tracking Tropical Storms / 5.4.3：
Geodynamics / Bert Vermeersen ; Ron Noomen ; Ernst Schrama ; Pieter Visser5.5：
The Changing Earth / 6.1：
Dynamics of the Crust and Lithosphere / 6.1.1：
The Earth's Interior and its Dynamics / 6.1.2：
Coupling with Processes in the Ocean, Continental Hydrology and the Atmosphere / 6.1.3：
Space Geodetic Observing Techniques / 6.2：
Optical Tracking of Satellites / 6.2.1：
Microwave Tracking of Satellites / 6.2.2：
X/S/Ku-Band / 6.2.3：
Doppler Orbitography and Radiopositioning / 6.2.4：
Galileo / 6.2.5：
Microwave Observation of Quasars / 6.2.6：
Deformation Monitoring by Radar Systems / 6.2.7：
Earth Orientation / 6.3：
Motion of the Rotation Axis / 6.3.1：
Observation by Space Techniques / 6.3.2：
Link with Solid Earth, Ocean and Atmosphere Dynamics / 6.3.3：
Satellite Gravity and Geoprocesses / 6.4：
The Static Geoid and the Gravity Anomaly Field / 6.4.1：
Observation Scenarios - Present and Future / 6.4.2：
Temporal Gravity Field Variations and their Link to Earth Processes / 6.4.3：
Earth Magnetic Field and the Geosphere / 6.5：
The Internal Field / 6.5.1：
The External Field / 6.5.2：
Applications / 6.5.3：
Monitoring from space / 6.5.4：
Plate Tectonics / 6.6：
Deformation Observations in Plate Boundary Zones / 6.6.1：
The North American - Eurasian - African Plate Boundary Zone / 6.6.2：
The Eurasian-Australian-Philippine Plate Boundary Zone / 6.6.3：
Conclusions and Outlook / 6.7：
Looking Up: Stars and Planets
Astronomy and Astrophysics / Ralf-Jurgen Dettmar7：
Astronomy from Space / 7.1：
Absorption / 7.1.1：
Emission / 7.1.2：
Turbulence / 7.1.3：
Extended Baseline / 7.1.4：
Astronomical Themes to Come / 7.2：
Cosmology and Structure Formation / 7.3.1：
Black Holes and Compact Objects / 7.3.2：
Formation of Stars and Planetary Systems / 7.3.3：
Current Space Astronomy Missions / 7.4：
The Hubble Space Telescope and the Optical Wavelength Range / 7.4.1：
UV Missions: FUSE, Galex, and More / 7.4.2：
Covering the Infrared: the Spitzer Observatory / 7.4.3：
The Far Infrared and the Sub-mm: Herschel / 7.4.4：
Looking at the Microwave Background with Planck / 7.4.5：
The X-ray Sky Seen with Newton and Chandra / 7.4.6：
The High Energy End: [Gamma]-Rays / 7.4.7：
Future Missions / 7.5：
The James Webb Space Telescope / 7.5.1：
Astrometry: Precise Positions with GAIA / 7.5.2：
Interferometry in Space / 7.5.3：
A Closer Look at Earth-Like Planets: Darwin and TPF / 7.5.4：
The Next Generation of X-Ray Telescopes / 7.5.5：
Perspectives and Conclusions / 7.6：
The Solar System / Tilman Spohn ; Ralf Jaumann8：
Our Planetary System / 8.1：
Planetary Missions / 8.2：
Planet and Satellite Orbits and Rotation States / 8.3：
Composition and Interior Structure of Planets / 8.4：
Surfaces and Atmospheres / 8.5：
Energy Balance and Evolution / 8.6：
Magnetic Fields and Field Generation / 8.7：
Origin of the Solar System / 8.8：
Between Space and Earth / 8.9：
Communications / Edward Ashford9：
Background and Objectives / 9.1：
The Need for Means of Communication / 9.1.1：
Radio Frequency Communications - from Maxwell to Marconi and Beyond / 9.1.2：
The Road to Satellite Communications - a Brief History / 9.1.3：
Principles of Radio Communications / 9.2：
The Pros and Cons of Satellite Communications / 9.2.1：
The Drawbacks of Satellites - Limited Frequency Spectrum / 9.2.2：
Satellite Communication Links / 9.3：
The Present Satellite Services and Systems / 9.4：
What the Future Holds / 9.5：
Satellite Navigation / Gunter W. Hein10：
Satellite Navigation in the Context of Space Sciences and Applications / 10.1：
Principles of Operations - a Brief Outline / 10.2：
Road Transport / 10.3：
Rail / 10.3.2：
Maritime Navigation / 10.3.3：
Aviation / 10.3.4：
Space / 10.3.5：
Telecommunication / 10.3.6：
Finance, Banking and Insurance / 10.3.7：
Precision Agriculture and Environment / 10.3.8：
Surveying and Civil Engineering / 10.3.9：
Electricity Networks / 10.3.10：
Science / 10.3.11：
Future Trends / 10.4：
Space as a Laboratory
Fundamental Physics / Hansjorg Dittus11：
Fundamental Physics - Definition / 11.1：
Space - A Unique Laboratory / 11.2：
Testing Fundamental Principles and Predictions in Space / 11.3：
Metrology and Fundamental Units / 11.4：
Technology / 11.5：
Summary and Outlook / 11.6：
Materials Sciences / Lorenz Ratke12：
Objectives of Materials Sciences in Space / 12.1：
Principles of Materials Engineering / 12.2：
Dendrites / 12.3：
Columnar to Equiaxed Transition / 12.3.2：
Eutectics / 12.3.3：
Coarsening / 12.3.4：
Thermophysical Properties / 12.3.5：
Crystal Growth / 12.3.6：
Future Research on the ISS / 12.4：
Life Sciences / Rupert Gerzer ; Ruth Hemmersbach ; Gerda Horneck13：
Astrobiology / 13.1：
Astrobiology Studies in Earth Orbit / 13.2.1：
Perspectives of Astrobiology / 13.2.2：
Gravitational Biology / 13.3：
Life Under Gravity Conditions / 13.3.1：
Gravisensors / 13.3.2：
Experiments in Microgravity / 13.3.3：
Perspective of Gravitational Biology / 13.3.4：
Human Physiology / 13.4：
Space-related Aspects of Human Health / 13.4.1：
Countermeasures / 13.4.2：
The Future of Human Space Flight / 13.4.3：
Any Limits?
Challenges and Perspectives / 14：
Focusing on Human Needs / 14.1：
Reaching Space - the Costly First Step / 14.2：
Challenges of Space Utilization / 14.3：
Human Welfare - Sustainability of Life / 14.3.1：
Economic Development and Innovation / 14.3.2：
Knowledge and Education / 14.3.3：
List of Acronyms / 14.4：
Keyword Index
The Earth Surface
Looking up: Stars and Planets / Hartmut Gra[beta]l
The High Energy End: [gamma]-Rays
Space: Beyond the Horizon
Space Utilization / Berndt Feuerbacher1：
Space Has Changed Our Life / 1.1：
16.
図書
Kofi Kissi Dompere
目次情報:
続きを見る
Epistemic Foundations of Fuzzy Mathematics for Decision-Choice Rationality / 1：
Reflections on the Role of Mathematics in Knowledge Construct / 1.1：
Uncertainty, Risk and Mathematics / 1.2：
Fuzzification, Defuzzification and Fuzzy Logic / 1.3：
Fuzzification in General Fuzzy and Approximate Reasoning / 1.3.1：
The Rationality and Two Number Systems / 2：
Classical Real Number System and Fuzzy Number System / 2.1：
Fuzzification of Classical Real Numbers / 2.1.1：
Defuzzification of Fuzzy Numbers / 2.1.2：
Defuzzification Methods, Fuzzy Logic and Decision-Rationality in Mathematical Constructs / 2.2：
Examples of Fuzification of Mathematical Strectures for Fuzzy Mathematics and Decision-Choice Rationality / 2.3：
Cohort IV: Fuzzy-Stochastic and Stochastic Fuzzy Spaces / 2.4：
The Nature of Fuzzy-Stochastic Space: / 2.4.1：
Rationality, Mathematics and Uncertainties / 2.4.2：
Some Remarks / 2.5：
Rationality and Decision-Choice-Theoretic Process / 3：
Epistemic Scope of Decision-Choice Rationality / 3.1：
A Canonical Representation of Decision-Choice Theories / 3.2：
A Reflection on Optimality and Rationality / 3.3：
Categories of Information Environment for Decision-Rationality / 3.4：
Information, Knowledge and Uncertainty / 3.5：
Past, Present, Future and Decision-Choice Activities / 3.5.1：
Non-fuzzy Rationality and the Classical Decision-Choice Process / 4：
Complete and Non-fuzzy Information-Knowledge Structure: The Exact Classical Non-stochastic Rationality / 4.1：
Incomplete and Non-fuzzy Information Structure: Exact Classical Stochastic Rationality / 4.2：
The Epistemic Structure of the Classical Rationality / 4.3：
Interpretations and Implications of Classical Rationality / 4.3.1：
From Non-fuzzy Information Structure to Fuzzy Information Structure / 4.4：
Fuzzy Rationality and Non-classical Decision Processes / 5：
Complete and Fuzzy Information Structure and Decision Processes / 5.1：
Decision-Choice Processes with Incomplete and Fuzzy Information Types / 5.2：
Separability of Uncertainty Space into Fuzziness and Stochasticity / 5.2.1：
Non-separability of Uncertainty Space / 5.3：
Prior Stochastic Uncertainty to Posterior Fuzzy Uncertainty (Fuzzy Stochastic Rationality) / 5.3.1：
Prior Fuzzy Uncertainty to Posterior Stochastic Uncertainty (Fuzzy Stochastic Rationality) / 5.3.2：
Some Computational Reflections on Fuzzy-Stochastic Spaces and Decision-Choice Rationality / 5.4：
Separability of Fuzzy Uncertainties and Stochastic Uncertainties / 5.4.1：
Non-separability of Fuzzy Uncertainties and Stochastic Uncertainties / 5.4.2：
Contraditions, Paradoxes and Fuzzy Optimal Decision-Choice Rationality / 6：
Fuzzy Rationality and Contradictions in the Classical Paradigm for Knowledge Construction and Reduction / 6.1：
Fuzzy Decision-Choice Rationality and Paradoxes in Classical Paradigm / 6.2：
Fuzzy Decision-Choice Rationality and the Sorites Paradox / 6.2.1：
Indeterminist and Epistemicist Concepts of Vagueness / 6.2.2：
Problems of Sorites Paradox, Penumbral Regions and Fuzzy Decision-Choice Rationality / 6.3：
Solution to Sorites Paradox by the Method of Optimal Fuzzy Rationality / 6.4：
The Sorites Paradox Resolution: The Individual Case by Fuzzy Restriction / 6.4.1：
The Sorites Paradox Resolution: The Collective Case by Fuzzy Restriction / 6.4.2：
References
On Aggregation and Rationality / R1：
Cost-Benefit Rationality and Decision-Choice Processes / R2：
On Cost-Benefit Rationality and Accounting Theory / R2.1：
On Cost-Benefit Rationality and Real Economic Costing / R2.2：
On Cost-Benefit Rationality and Decision-Choice Criteria / R2.3：
On Cost-Benefit Rationality and Pricing / R2.4：
On Cost-Benefit Rationality and Discounting / R2.5：
Cost-Benefit Rationality and Contingent Valuation Method (CVM) / R2.6：
Cost-Benefit Rationality and the Revealed Preference Approach (RPA) / R2.7：
On Rationality and Social Decision-Choice Process / R3：
On Expectations, Uncertainty and Rationality / R4：
On Decision-Choice Process, Fuzziness and Rationality / R5：
On Fuzzy Decisions, Applications and Rationality / R6：
On Game Theory, Risk Analysis. Fuzziness and Rationality / R7：
On Fuzzy Logic and Rationality / R8：
On Fuzzy Optimization and Decision-Choice Rationality / R9：
On Fuzzy Mathematics and Optimal Rationality / R10：
On Fuzzy Probability, Fuzzy Random Variable and Random Fuzzy Variable / R11：
On Rationality and General Decision-Choice Processes / R12：
On Rationality, Ideology and Decision-Choice Process / R13：
On Rationality, Information and Knowledge / R14：
Rationality and Category Theory in Mathematics, Logic and Sciences / R15：
On Rationality, Probabilistic Concepts and Reasoning / R16：
On Classical Rationality, Optimality and Equilibrium / R17：
On Bounded Rationality / R18：
On Rationality, Information, Games and Decision-Choice Conflicts / R19：
On Rationality and Philosophy of Science / R20：
On Rationality, Riskiness, Decision-Choice Process and Paradoxes / R21：
On Theories of Utility and Expected Utility / R22：
On Vagueness and Approximation / R23：
On Rationality, Prescriptive Science and Theory of Planning / R24：
Index
Epistemic Foundations of Fuzzy Mathematics for Decision-Choice Rationality / 1：
Reflections on the Role of Mathematics in Knowledge Construct / 1.1：
Uncertainty, Risk and Mathematics / 1.2：
17.
図書
Bekir Aktas, Faik Mikailov, editors
目次情報:
続きを見る
Role of Defects and Disorder in the Half-Metallic Full-Heusler Compounds / I. Galanakis ; K. Ozdogan ; E. Sasioglu1：
Introduction / 1.1：
Defects in Full-Heuslers Containing Co and Mn / 1.2：
Defects Driven Half-Metallic Ferrimagnetism / 1.3：
A Possible Route to Half-Metallic Antiferromagnetism / 1.4：
Vacancies / 1.5：
Summary and Outlook / 1.6：
References
Clustering in Heusler Alloys / N. Lakshmi ; V. Sebastian ; K. Venugopalan2：
Experimental Methods / 2.1：
Results and Discussion / 2.3：
X-Ray Diffraction Studies / 2.3.1：
Mossbauer Studies / 2.3.2：
DC Magnetization Studies / 2.3.3：
Anisotropy of Ferromagnetic Heusler Alloys Thin Films / R. Yilgin ; B. Aktas3：
TMR and GMR Effects / 3.1：
Critical Current / 3.1.2：
Theoretical Background / 3.1.3：
The Theory of Ferromagnetic Resonance / 3.2：
Dynamics of Magnetization / 3.2.1：
Resonance Field for Polycrystalline Film / 3.2.2：
Ferromagnetic Resonance in Single Crystalline Film / 3.2.3：
Line-Width of Resonance Absorption / 3.2.4：
Sample Preparation / 3.3：
Magnetic Characterizations / 3.3.2：
FMR Results / 3.3.3：
Conclusions / 3.4：
Quantum Monte Carlo Study of Anderson Magnetic Impurities in Semiconductors / N. Bulut ; Y. Tomoda ; K. Tanikawa ; S. Takahashi ; S. Maekawa4：
Model / 4.1：
Two-Dimensional Case / 4.3：
Magnetic Correlations Between the Impurities / 4.3.1：
Impurity-Host Correlations / 4.3.2：
Three-Dimensional Case / 4.4：
Tight-Binding Model for a Mn d Orbital in GaAs / 4.5：
Discussion and Summary / 4.6：
New Type of Nanomaterials: Doped Magnetic Semiconductors Contained Ferrons, Antiferrons, and Afmons / L.I. Koroleva ; D.M. Zashchirinskii5：
Ferrons / 5.1：
Giant Red Shift of Fundamental Absorption Edge Connected with Ferromagnetic Ordering / 5.2.1：
Notion of Ferrons / 5.2.2：
Electrical Resistivity and Magnetoresistance of Nondegenerate Ferromagnetic Semiconducrors with n-Type of Electrical Conductivity / 5.2.3：
Magnetic Two-Phase Ferromagnetic-Antiferromagnetic State in Manganites / 5.2.4：
Antiferrons / 5.2.5：
Afmons / 5.2.6：
Cerium-Doped Yttrium Iron Garnet Thin Films Prepared by Sol-Gel Process: Synthesis, Characterization, and Magnetic Properties / Y. Ozturk ; I. Avgin ; M. Erol ; E. Celik6：
Experimental Details / 6.1：
Summary and Conclusions / 6.3：
Tuning the Magnetic and Electronic Properties of Manganite Thin Films by Epitaxial Strain / G.H. Aydogdu ; Y. Kuru ; H.-U. Habermeier7：
Preparation and Analysis of Films / 7.1：
Deposition Technique and Film Growth / 7.2.1：
Analysis of Films / 7.2.2：
Structural Characterization, Electrical and Magnetic Properties of Manganites Film / 7.3：
Structural Characterization / 7.3.1：
Magnetic Properties / 7.3.2：
Electrical Properties / 7.3.3：
General Discussion / 7.4：
Radiation Nanostructuring of Magnetic Crystals / V.A. Ageev ; V.I. Kirischuk ; Yu.V. Koblyanskiy ; G.A. Melkov ; L.V. Sadovnikov ; A.N. Slavin ; N.V. Strilchuk ; V.I. Vasyuchka ; V.A. Zheltonozhsky7.5：
The Influence of Inhomogeneities upon the Properties of Ferrites and Ferrite Devices / 8.1：
Wave-Front Reversal in a Medium with Inhomogeneities / 8.3：
Experimental Results / 8.4：
Discussions / 8.5：
Electromagnetic Radiation of Micro and Nanomagnetic Structures with Magnetic Reversal / B.A. Gurovich ; K.E. Prikhodko ; E.A. Kuleshova ; A.G. Domantovsky ; K.I. Maslakov ; E.Z. Meilikhov8.6：
Experimental / 9.1：
Coercivity Static Measurements of Magnetic Patterned Media / 9.3：
The Dependence of the Amplitude and Duration of Emitted Signal on the External Magnetic Field Amplitude / 9.3.2：
Experimental Determination of Dynamic Emitted Parameters of Magnetic Patterned Media / 9.3.3：
Dependence of Dynamical Coercivity of Bit Arrays with Underlayer on the Bits Structural Geometry / 9.3.4：
Peculiarities of the Magnetic Structure of Cobalt Bits with and without a Soft Magnetic Underlayer / 9.3.5：
Structural and Magnetic Properties and Preparation Techniques of Nanosized M-type Hexaferrite Powders / T. Koutzarova ; S. Kolev ; C. Ghelev ; K. Grigorov ; I. Nedkov9.4：
Crystalline Structure / 10.1：
Methods for Preparation / 10.3：
Microemulsion Technique / 10.5：
Nanocrystallization and Surface Magnetic Structure of Ferromagnetic Ribbons and Microwires / A. Chizhik ; A. Zhukov ; V. Zhukova ; C. Garcia ; J.M. Blanco ; J.J. del Val ; L. Fernandez ; N. Iturriza ; J. Gonzalez11：
Co-Rich Ribbons / 11.1：
Ni-Rich Ribbons / 11.2.1：
XRD and AFM Structural Results / 11.3.1：
Magnetic Results / 11.3.2：
Microwires with Novel Composition Cu[subscript 70](Co[subscript 70]Fe[subscript 5]Si[subscript 10]B[subscript 15])[subscript 30] / 11.4：
On Structural and Magnetic Properties of Fe[subscript 73.5-x]Si[subscript 13.5]B[subscript 9]Cu[subscript 1]Nb[subscript 3]Mn[subscript x] Metal Alloys / R. Brzozowski ; M. Wasiak ; P. Sovak ; M. Moneta11.4.1：
Experiment / 12.1：
As-Quenched Fe[subscript 73.5-x]Si[subscript 13.5]B[subscript 9]Cu[subscript 1]Nb[subscript 3]Mn[subscript x] / 12.3：
Annealed Fe[subscript 73.5-x]Si[subscript 13.5]B[subscript 9]Cu[subscript 1]Nb[subscript 3]Mn[subscript x] / 12.3.2：
FeCoZr-Al[subscript 2]O[subscript 3] Granular Nanocomposite Films with Tailored Structural, Electric, Magnetotransport and Magnetic Properties / J.A. Fedotova12.4：
Granular Nanocomposites for Electronics: Reasons of Interest / 13.1：
Preparation and Structure of Granular MMCs / 13.1.2：
Percolation in Granular Nanocomposites / 13.1.3：
Carrier Transport in Granular MMCs around Metal-Insulator Transition / 13.1.4：
Magnetic Properties of Granular Nanocomposites / 13.1.5：
Properties of FeCoZr-Al[subscript 2]O[subscript 3] Nanocomposite Films: Synthesis in Pure Ar and Mixed Ar + O Ambient / 13.2：
Synthesis and Samples Preparation / 13.2.1：
Mossbauer Spectroscopy / 13.2.2：
Alternation Grads- and SQUID-Magnetometry / 13.2.3：
Atomic Force-Magnetic Force Microscopy / 13.2.4：
Electric and Magnetotransport Properties / 13.2.5：
Concluding Remarks / 13.3：
Ferromagnetism of Nanostructures Consisting of Ferromagnetic Granules with Dipolar Magnetic Interaction / E. Meilikhov ; R. Farzetdinova14：
Lattices of Point-like and Rod-like Ferromagnetic Granules with Dipole Interaction / 14.1：
3D Lattice of Point-Like Granules / 14.2.1：
2D Lattice of Point-Like Granules / 14.2.2：
3D Lattice of Rod-Like Granules / 14.2.3：
2D Lattice of Rod-Like Granules / 14.2.4：
Lattices of Ellipsoidal Granules with Dipole Interaction / 14.3：
Magnetic Field of the Ellipsoidal Granule / 14.3.1：
3D Lattice of Ellipsoidal Granules / 14.3.2：
2D Lattice of Prolate Ellipsoidal Granules / 14.3.3：
2D Lattice with Oblate Ellipsoidal Granules / 14.3.4：
2D Lattice of Oblate Ellipsoidal Granules in a Magnetic Field / 14.3.5：
Partially Populated Lattices of Point-Like Ising Dipoles / 14.4：
Distribution of Local Magnetic Fields / 14.4.1：
Magnetic Phase Diagram / 14.4.2：
Random Systems of Point-Like and Rod-Like Ising Dipoles / 14.5：
Generalized Mean Field Theory for Point (Spherical) Dipoles / 14.5.1：
Generalized Mean Field Theory for Rod-Like Dipoles / 14.5.3：
Magnetic Properties of a Random System of Rod-Like Dipoles / 14.5.4：
Experimental Examples / 14.6：
Magnetism of Ultrathin Films / 14.6.1：
2D Lattices of Disk-Shaped Granules in a Magnetic Field / 14.6.2：
Magnetic Recording Density / 14.6.3：
Magnetic Dipolar Interactions in Nanoparticle Systems: Theory, Simulations and Ferromagnetic Resonance / D.S. Schmool ; M. Schmalzl14.6.4：
Theory of Dipole - Dipole Interactions in Magnetic Nanoparticles / 15.1：
Dipolar Interactions / 15.2.1：
Simulations for Arrays of Nanoparticles / 15.2.2：
Ferromagnetic Resonance in Magnetic Nanoparticles / 15.3：
Contributors / 15.4：
Role of Defects and Disorder in the Half-Metallic Full-Heusler Compounds / I. Galanakis ; K. Ozdogan ; E. Sasioglu1：
Introduction / 1.1：
Defects in Full-Heuslers Containing Co and Mn / 1.2：
18.
図書
Baoding Liu
目次情報:
続きを見る
Mathematical Programming / 1：
Single-Objective Programming / 1.1：
Multiobjective Programming / 1.2：
Goal Programming / 1.3：
Dynamic Programming / 1.4：
Multilevel Programming / 1.5：
Genetic Algorithms / 2：
Representation Structure / 2.1：
Handling Constraints / 2.2：
Initialization Process / 2.3：
Evaluation Function / 2.4：
Selection Process / 2.5：
Crossover Operation / 2.6：
Mutation Operation / 2.7：
General Procedure / 2.8：
Numerical Experiments / 2.9：
Neural Networks / 3：
Basic Concepts / 3.1：
Function Approximation / 3.2：
Neuron Number Determination / 3.3：
Backpropagation Algorithm / 3.4：
Stochastic Programming / 3.5：
Random Variables / 4.1：
Expected Value Model / 4.2：
Chance-Constrained Programming / 4.3：
Dependent-Chance Programming / 4.4：
Hybrid Intelligent Algorithm / 4.5：
Fuzzy Programming / 4.6：
Fuzzy Variables / 5.1：
Hybrid Programming / 5.2：
Hybrid Variables / 6.1：
Uncertain Programming / 6.2：
Uncertain Variables / 7.1：
Uncertain Dynamic Programming / 7.2：
Uncertain Multilevel Programming / 7.6：
? Graph of Uncertain Programming / 7.7：
System Reliability Design / 8：
Problem Description / 8.1：
Stochastic Models / 8.2：
Fuzzy Models / 8.3：
Hybrid Models / 8.4：
Exercises / 8.5：
Project Scheduling Problem / 9：
Vehicle Routing Problem / 9.1：
Facility Location Problem / 10.1：
Machine Scheduling Problem / 11.1：
References / 12.1：
List of Acronyms
List of Frequently Used Symbols
Index
Mathematical Programming / 1：
Single-Objective Programming / 1.1：
Multiobjective Programming / 1.2：
19.
図書
Ernst Heinrich Hirschel, Claus Weiland
目次情報:
続きを見る
Introduction / 1：
Three Reference Classes of Hypersonic Vehicles / 1.1：
Aerothermodynamics and the Definition and Development of Flight Vehicles / 1.2：
Design Sensitivities and Margins versus Data Uncertainties / 1.2.1：
Deficits of Aerothermodynamic Simulation Means / 1.2.2：
Scope and Content of the Book / 1.3：
References
Short Introduction to Flight Trajectories for Aerothermodynamicists / 2：
Flight Trajectories of Winged and Non-Winged Re-Entry Vehicles / 2.1：
General Aspects / 2.1.1：
Guidance Objectives, Trajectory Control Variables, and Systems and Operational Constraints / 2.1.2：
Forces Acting on a Re-Entry Vehicle / 2.1.3：
The Equilibrium Glide Trajectory / 2.1.4：
Equilibrium Glide Trajectory: Qualitative Results / 2.1.5：
Case Study 1: Trajectories of RV-NW's / 2.1.6：
Case Study 2: Trajectory of a RV-W (X-38) / 2.1.7：
Flight Trajectories of Cruise and Acceleration Vehicles / 2.2：
Forces Acting on a Cruise and Acceleration Vehicle / 2.2.1：
Case Study 3: Trajectory of a CAV (SÄNGER) / 2.2.4：
General Equations for Planetary Flight / 2.3：
Problems / 2.4：
Aerothermodynamic Design Problems of Winged Re-Entry Vehicles / 3：
Overview of Aerothermodynamic Issues of Winged Re-Entry Vehicles / 3.1：
Aerothermodynamic Phenomena / 3.1.1：
Major Simulation Problem: High Mach Number and Total Enthalpy Effects / 3.1.2：
Particular Trends in RV-W Aerothermodynamics / 3.2：
Stagnation Pressure / 3.2.1：
Topology of the Windward Side Velocity Field / 3.2.2：
Lift Generation / 3.2.3：
Base Pressure and Drag / 3.2.4：
Aerodynamic Performance Data of RV-W's / 3.3：
Space Shuttle Orbiter / 3.3.1：
HERMES Configuration / 3.3.2：
HOPE-X Configuration / 3.3.3：
X-34 Configuration / 3.3.4：
X-38 Configuration / 3.3.5：
HOPPER/PHOENIX Configuration / 3.3.6：
Summary / 3.3.7：
Vehicle Flyability and Controllability / 3.4：
General Considerations / 3.4.1：
Trim and Stability of RV-W's / 3.4.2：
The Hypersonic Pitching Moment Anomaly of the Space Shuttle Orbiter / 3.5：
Trim Situation and Possible Causes of the Pitching Moment Anomaly / 3.5.1：
Pressure Coefficient Distribution at the Windward Side of the Orbiter / 3.5.2：
The Forward Shift of the Center-of-Pressure / 3.5.3：
The Hypersonic Pitching Moment Anomaly in View of Oswatitsch's Mach Number Independence Principle / 3.6：
Wall Pressure Coefficient Distribution / 3.6.1：
A Simple Analysis of Flight Mach Number and High-Temperature Real Gas Effects / 3.6.3：
Reconsideration of the Pitching Moment Anomaly and Summary of Results / 3.6.4：
Concluding Remarks / 3.6.5：
Aerothermodynamic Design Problems of Winged Airbreathing Vehicles / 3.7：
Overview of Aerothermodynamic Issues of Cruise and Acceleration Vehicles / 4.1：
Major Simulation Problem: Viscous Effects / 4.1.1：
Particular Trends in CAV/ARV Aerothermodynamics / 4.2：
Topology of the Forebody Windward Side Velocity Field / 4.2.1：
Aerodynamic Performance / 4.2.3：
Example: Flight Parameters and Aerodynamic Coefficients of the Reference Concept SÄNGER / 4.3：
General Configurational Aspects: Highly Coupled Lift and Propulsion System / 4.4：
Some Vehicle Shape Considerations / 4.4.1：
Bookkeeping of Aerothermodynamic and Propulsion System Forces / 4.4.2：
Issues of Aerothermodynamic Airframe/Propulsion Integration / 4.5：
Forebody Effect / 4.5.1：
Flat versus Conical Lower Side of Forebody / 4.5.2：
Principle of Forebody Pre-Compression / 4.5.3：
Net Thrust Sensitivity on Pre-Compression / 4.5.4：
Inlet Ramp Flow / 4.5.5：
Waverider Configurations / 4.6：
Design Methods / 4.6.1：
Exemplary Waverider Designs / 4.6.3：
Influence of Viscous Effects on the Aerodynamic Performance / 4.6.4：
Off-Design and Low-Speed Behavior / 4.6.5：
Static Stability Considerations / 4.6.6：
WaveriderùOperable Vehicle? / 4.6.7：
Aerothermodynamic Design Problems of Non-Winged Re-Entry Vehicles / 4.7：
Introduction and Entry Strategies / 5.1：
Aerobraking / 5.1.1：
Aerocapturing / 5.1.2：
Ballistic FlightùBallistic Factor / 5.1.3：
General Configurational Aspects / 5.2：
Ballistic Probes / 5.2.1：
Lifting Capsules / 5.2.2：
Bicones / 5.2.3：
Trim Conditions and Static Stability of RV-NW's / 5.3：
Park's Formula / 5.3.1：
Performance Data of Lifting Capsules / 5.3.2：
Controlled Flight and the Role of the Center-of-Gravity / 5.3.3：
Sensitivity of Aerodynamics against Shape Variations / 5.3.4：
Parasite Trim / 5.3.5：
Performance Data of Bicones / 5.3.6：
Influence of High Temperature, Real Gas Effects on Forces and Moments / 5.3.7：
Dynamic Stability / 5.4：
Physics of Dynamic Instability / 5.4.1：
Equation of Angular Motion / 5.4.2：
Experimental Methods / 5.4.3：
Numerical Methods / 5.4.4：
Typical Experimental Results / 5.4.5：
Thermal Loads / 5.5：
OREX Suborbital Flight / 5.5.1：
ARD Suborbital Flight / 5.5.2：
APOLLO Low Earth Orbit (LEO) and Lunar Return / 5.5.3：
VIKING-Type Shape Technology Study / 5.5.4：
Stabilization, Trim, and Control Devices / 5.6：
Control Surface Aerothermodynamics, Introduction / 6.1：
Flap Effectiveness: Influence of the Onset Flow Field / 6.1.1：
Flap Deflection Modes during Hypersonic Flight / 6.1.2：
Onset Flow of Aerodynamic Trim and Control Surfaces / 6.2：
Overall Onset Flow Characteristics / 6.2.1：
Entropy Layer of the Onset Flow / 6.2.2：
The Onset Flow Boundary Layer / 6.2.3：
Asymptotic Consideration of Ramp Flow / 6.3：
Basic Types of Ramp Flow / 6.3.1：
Behavior of the Wall Pressure / 6.3.2：
Behavior of the Thermal State of the Surface / 6.3.3：
Behavior of the Wall-Shear Stress / 6.3.4：
Hinge-Line Gap Flow Issues / 6.4：
Aerothermodynamic Issues of Reaction Control Systems / 6.5：
Configurational Considerations / 6.6：
Examples of Stabilization, Trim and Control Devices / 6.6.1：
Geometrical Considerations / 6.6.2：
Flap Width versus Flap Length / 6.6.3：
Volumes of Stabilization and Control Surfaces / 6.6.4：
Summary of Results / 6.7：
Simulation Issues / 6.7.2：
Forces, Moments, Center-of-Pressure, Trim, and Stability in General Formulation / 6.8：
Moment Equation / 7.1：
General Formulation of the Center-of-Pressure / 7.2：
Static Stability Considerations for Bluff Configurations / 7.3：
Static Stability Considerations for Slender Configurations / 7.4：
Further Contemplations of Static Stability / 7.5：
Coordinate Transformations of Force Coefficients / 7.6：
Multidisciplinary Design Aspects / 7.7：
Introduction and Short Overview of the Objectives of Multidisciplinary Design Work / 8.1：
Equations for Fluid-Structure Interaction Domains / 8.2：
Fluid Dynamics Equations / 8.2.1：
Structure Dynamics Equations / 8.2.2：
Heat Transport Equation / 8.2.3：
Coupling Procedures / 8.3：
Mechanical Fluid-Structure Interaction Aeroelastic Approach I / 8.3.1：
Mechanical Fluid-Structure Interaction Aeroelastic Approach II / 8.3.2：
Thermal-Mechanical Fluid-Structure Interaction / 8.3.3：
Examples of Coupled Solutions / 8.4：
Thermal-Fluid-Structure Interaction / 8.4.1：
Thermal-Mechanical-Fluid-Structure Interaction / 8.4.4：
Conclusion / 8.5：
The Thermal State of a Hypersonic Vehicle Surface / 8.6：
Heat Transport at a Vehicle Surface / 9.1：
The Thermal State of a Vehicle Surface / 9.2：
Aerothermpdynamic Simulation Compendium / 9.3：
Ground-Facility Simulation / 9.3.1：
Computational Simulation / 9.3.2：
In-Flight Simulation / 9.3.3：
Introduction and Delineation / 10：
Normal Shock Wave / 10.1.2：
Oblique Shock Wave / 10.1.4：
Bow Shock Total Pressure Loss: Restitution of Parameters of a One-Dimensional Surface Flow / 10.1.5：
The Compressibility Factor Z / 10.1.6：
Transport Properties / 10.1.7：
Formulas for Stagnation Point Heating / 10.3：
Flat Surface Boundary Layer Parameters Based on the Reference-Temperature/Enthalpy Concept / 10.4：
Reference-Temperature/Enthalpy Concept / 10.4.1：
Boundary Layer Thicknesses Over Flat Surfaces / 10.4.2：
Wall Shear Stress and Thermal State at Flat Surfaces / 10.4.3：
Virtual Origin of Boundary Layers at Junctions / 10.4.4：
Solution Guide and Solutions of the Problems / 11：
Problems of Chapter 2 / 11.1：
Problems of Chapter 3 / 11.2：
Problems of Chapter 4 / 11.3：
Problems of Chapter 5 / 11.4：
Problems of Chapter 6 / 11.5：
Problems of Chapter 7 / 11.6：
Problems of Chapter 8 / 11.7：
The Governing Equations of Aerothermodynamics / Appendix A：
Governing Equations for Chemical Non-Equilibrium Flow / A.1：
Equations for Excitation of Molecular Vibrations and Electron Modes / A.2：
Excitation of Molecular Vibrations / A.2.1：
Electron Modes / A.2.2：
Vector Form of Navier-Stokes Equations Including Thermal Non-Equilibrium / A.3：
The Earth's Atmosphere / Appendix B：
Constants, Units and Conversions / Appendix C：
Constants and Air Properties / C.1：
Units and Conversions / C.2：
Symbols / Appendix D：
Latin Letters / D.1：
Greek Letters / D.2：
Indices / D.3：
Upper Indices / D.3.1：
Lower Indices / D.3.2：
Other Symbols / D.4：
Glossary, Abbreviations, Acronyms / Appendix E：
Glossary / E.1：
Abbreviations, Acronyms / E.2：
Permissions
Name Index
Subject Index
Introduction / 1：
Three Reference Classes of Hypersonic Vehicles / 1.1：
Aerothermodynamics and the Definition and Development of Flight Vehicles / 1.2：
20.
図書
Kofi Kissi Dompere
目次情報:
続きを見る
General Epistemics on Science and Rationality / 1：
Decision and Cognition / 1.1：
The Unity of Science, Philosophy and Rational Inquiry / 1.2：
Methodology of Science and Decision-Choice Rationality / 1.3：
Explanatory and Prescriptive Sciences / 1.4：
Explanatory Science and Decision-Choice Rationality / 1.4.1：
Prescriptive Science and Decision-Choice Rationality / 1.4.2：
An Epistemic Reflection on Explanatory Theory, Prescriptive Theory and Decision-Choice Rationality / 1.5：
Comparison of Explanatory and Prescriptive Rationalities in the Knowledge Enterprise / 1.5.1：
Decision-Choice Rationalities, Constructionism, Reductionism in Social Knowledge Construct / 1.5.2：
Information and Knowledge in Decision-Choice Rationality / 2：
Information Definition and Representation in Decision-Choice Systems / 2.1：
The Concept and Nature of Information in Cognitive Systems / 2.1.1：
Information and Reality / 2.1.2：
Knowledge Definition and Representation in Decision-Choice Systems / 2.2：
The Concept and Nature of Knowledge / 2.2.1：
Knowledge, Illusions and Reality / 2.2.2：
Decision, Choice and Rationality / 3：
Epistemological Problem of Rationality / 3.1：
The Concept of Rationality / 3.1.1：
Epistemic Conditions of Rationality / 3.1.2：
Quality-Quantity Duality and Decision-Choice Rationality / 3.1.3：
Critique of Some Criticisms of Rationality / the Futility of Criticizing the Optimal Rationality Postulate / 3.1.4：
Decision and Choice Explicated / 3.2：
Decision, Rationality and Optimality / 3.3：
Rationality and Optimality / 3.3.1：
Optimality and Equilibrium in Decision Systems / 3.3.2：
Choice, Rationality and Optimality / 3.4：
Rational Choice as an Action on Rational Decision / 3.4.1：
Rationality, Choice, Optimality and Equilibrium / 3.4.2：
Ideology and Decision-Choice Rationalities / 4：
Ideology and Rationality in Institutions and Society / 4.1：
Ideology and Decision-Choice Rationality in Science and Knowledge Production / 4.2：
Social Costs and Benefits of Ideology in Decision-Choice Rationality / 4.3：
Contents of Ideology and Decision-Choice Rationality / 4.4：
References
On Aggregation and Rationality / R1：
Cost-Benefit Rationality and Decision-Choice Processes / R2：
On Cost-Benefit Rationality and Accounting Theory / R2.1：
On Cost-Benefit Rationality and Real Economic Costing / R2.2：
On Cost-Benefit Rationality and Decision-Choice Criteria / R2.3：
On Cost-Benefit Rationality and Pricing / R2.4：
On Cost-Benefit Rationality and Discounting / R2.5：
Cost-Benefit Rationality and Contingent Valuation Method (CVM) / R2.6：
Cost-Benefit Rationality and the Revealed Preference Approach (RPA) / R2.7：
On Rationality and Social Decision-Choice Process / R3：
On Expectations, Uncertainty and Rationality / R4：
On Decision-Choice Process, Fuzziness and Rationality / R5：
On Fuzzy Decisions, Applications and Rationality / R6：
On Game Theory, Risk Analysis. Fuzziness and Rationality / R7：
On Fuzzy Logic and Rationality / R8：
On Fuzzy Optimization and Decision-Choice Rationality / R9：
On Fuzzy Mathematics and Optimal Rationality / R10：
On Fuzzy Probability, Fuzzy Random Variable and Random Fuzzy Variable / R11：
On Rationality and General Decision-Choice Processes / R12：
On Rationality, Ideology and Decision-Choice Process / R13：
On Rationality, Information and Knowledge / R14：
Rationality and Category Theory in Mathematics, Logic and Sciences / R15：
On Rationality, Probabilistic Concepts and Reasoning / R16：
On Classical Rationality, Optimality and Equilibrium / R17：
On Bounded Rationality / R18：
On Rationality, Information, Games and Decision-Choice Conflicts / R19：
On Rationality and Philosophy of Science / R20：
On Rationality, Riskiness, Decision-Choice Process and Paradoxes / R21：
On Theories of Utility and Expected Utility / R22：
On Vagueness and Approximation / R23：
On Rationality, Prescriptive Science and Theory of Planning / R24：
Index
General Epistemics on Science and Rationality / 1：
Decision and Cognition / 1.1：
The Unity of Science, Philosophy and Rational Inquiry / 1.2：
21.
図書
Rudolph Seising
目次情報:
続きを見る
Introduction
Beginnings of Communication Technology in the 20th Century / 1：
Communication Network / 1.1：
Network Analyses / 1.2：
Ernst A. Guillemin, Lotfi A. Zadeh, Dr. Jekyll and Mr. Hyde / 1.3：
Ideal and Optimum Filters / 1.4：
Generalizations / 1.5：
Let's go digital! / 1.6：
A View from 1950 into the Future of 1965 / 1.6.1：
System Theory / 1.6.2：
From System Theory to the Theory of Fuzzy Systems / 1.6.3：
Logical Tolerance, Ensembles Flous and Probabilistic Metrics / 2：
The Vienna Circle / 2.1：
Karl Menger: "From the Criterion of Meaning to the Principle of Tolerance" / 2.2：
Menger's Conventionalism / 2.2.1：
Alfred Tarski's Support / 2.2.2：
The Principle of Logical Tolerance / 2.2.3：
Probabilistic or Statistical Metrics and Ensembles Flous / 2.3：
General Systems Theory and Cybernetics / 3：
General Systems Theory / 3.1：
Cybernetics / 3.2：
Communication Theory / 3.3：
"The Cybernetics Group" / 3.4：
Von Neumann, the Computer and the Brain / 3.5：
Pattern Recognition with the Perceptron / 3.6：
Automata / 3.7：
From Circuit Theory to System Theory / 4：
Dynamic Programming / 4.1：
Identification Problems and a "Time Out" in Princeton / 4.2：
"Optimal Fetishism", Expanded Linearity Concepts and Adaptive Systems / 4.3：
Optimality / 4.3.1：
Linearity / 4.3.2：
"Non-Inferiority" / 4.3.3：
Adaptivity / 4.3.4：
Zadeh's System Theory / 4.4：
The State Space Approach / 4.4.1：
A Renaissance of General Systems Theory? / 4.4.2：
System States as Input-Output State Relation Pairs / 4.4.3：
Zadeh's Decision / 4.5：
Fuzzy Sets and Fuzzy Systems / 5：
The Genesis of Fuzzy Set Theory / 5.1：
Fuzzy Sets / 5.2：
Fuzzy Systems / 5.2.2：
Fuzzy Classes of Systems / 5.2.3：
Optimization under Fuzzy Conditions / 5.2.4：
First Papers on Fuzzy Sets / 5.2.5：
The Article Fuzzy Sets / 5.3：
An Interpretation for Unions and Intersections / 5.4：
System Theory and Fuzzy Systems / 5.5：
Fuzzifications / 6：
Reactions / 6.1：
Fuzzy Automata / 6.2：
Fuzzy Algorithms / 6.3：
Fuzzy Turing Machines / 6.4：
Fuzzifications of Elements of Mathematical Theory / 6.5：
Other Fuzzifications / 6.6：
Fuzzy Control / 6.7：
The First "Fuzzy Logic Controller" for Controlling a Steam Engine / 6.8：
The Fuzzification of Medical Diagnostics / 7：
Mechanization in Medical Diagnostics / 7.1：
Biomedicine and Digital Computers / 7.2：
Computer Systems in Medicine / 7.3：
Computer-Assisted Diagnosis at Vienna General Hospital / 7.4：
Cadiag / 7.4.1：
Cadiag-I / 7.4.2：
From Cadiag-I to Cadiag-II / 7.4.3：
Fuzziness in Medicine / 7.5：
"Medical Knowledge" / 7.5.1：
Cadiag-II / 7.5.2：
Conclusion / 8：
Afterword / Lotfi A. Zadeh
References
List of Figures
Index of Names
Index of Subjects
Introduction
Beginnings of Communication Technology in the 20th Century / 1：
Communication Network / 1.1：
22.
図書
edited by P.J. Gregson and S. J. Harris
23.
図書
edited by Sang-Eon Park, Jong-San Chang, Kyu-Wan Lee
目次情報:
続きを見る
Section Headings
Heterogeneous catalysis of CO 2
Homogeneous catalysis of CO 2
Electro and photocatalytic reduction of CO 2
CO 2 as oxidant
Studies in supercritical CO 2
CO 2 separation and recovery
Biology and biochemistry of CO 2 utilization
Utilization of CO 2 hydrates
General uses of CO 2
Section Headings
Heterogeneous catalysis of CO 2
Homogeneous catalysis of CO 2
24.
雑誌
応用物理学会 ; 日本物理学会
出版情報:
Tokyo : Japan Society of Applied Physics through Institute of Pure and Applied Physics, 2003-2007 5 v. ; 30 cm
巻次年月次:
Vol. 42, no. 7A (1 July, 2003)-v. 46, nos. 45-49 (Dec. 2007)
子書誌情報:
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所蔵情報:
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25.
図書
volume editors Vincenzo Balzani, Sebastiano Campagna
26.
図書
Oscar Castillo and Patricia Melin
27.
図書
volume editor, Ralf Steudel ; with contributions by B. Eckert ... [et al.]
28.
図書
edited by Gun Wirtanen & Satu Salo ; organized by R[3] - Nordic
出版情報:
Vuorimiehentie, Finland : VTT Technical Research Centre of Finland, 2003 418 p. ; 25 cm
シリーズ名:
VTT Symposium ; 229
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29.
図書
Dewey H. Hodges
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Preface
Introduction / Chapter 1：
System Identification Applied to Aircraft / 1.1：
Outline of the Text / 1.2：
References
Elements of System Theory / Chapter 2：
Mathematical Modeling / 2.1：
System Identification and Parameter Estimation / 2.2：
Aircraft System Identification / 2.3：
Summary and Concluding Remarks / 2.4：
Mathematical Model of an Aircraft / Chapter 3：
Reference Frames and Sign Conventions / 3.1：
Rigid-Body Equations of Motion / 3.2：
Rotational Kinematic Equations / 3.3：
Navigation Equations / 3.4：
Force Equations in Wind Axes / 3.5：
Collected Equations of Motion / 3.6：
Output Equations / 3.7：
Aerodynamic Model Equations / 3.8：
Simplifying the Equations of Motion / 3.9：
Outline of Estimation Theory / 3.10：
Properties of Estimators / 4.1：
Parameter Estimation / 4.2：
State Estimation / 4.3：
Regression Methods / 4.4：
Ordinary Least Squares / 5.1：
Generalized Least Squares (GLS) / 5.2：
Nonlinear Least Squares / 5.3：
Model Structure Determination / 5.4：
Data Collinearity / 5.5：
Data Partitioning / 5.6：
Maximum Likelihood Methods / 5.7：
Dynamic System with Process Noise / 6.1：
Output-Error Method / 6.2：
Computational Aspects / 6.3：
Equation-Error Method / 6.4：
Frequency Domain Methods / 6.5：
Transforming Measured Data to the Frequency Domain / 7.1：
Frequency Response / 7.2：
Maximum Likelihood Estimator / 7.3：
Complex Linear Regression / 7.4：
Low-Order Equivalent System Identification / 7.7：
Real-Time Parameter Estimation / 7.8：
Recursive Least Squares / 8.1：
Time-Varying Parameters / 8.2：
Regularization / 8.3：
Frequency-Domain Sequential Least Squares / 8.4：
Extended Kalman Filter / 8.5：
Experiment Design / 8.6：
Data Acquisition System / 9.1：
Instrumentation / 9.2：
Input Design / 9.3：
Recommendations / 9.4：
Open-Loop Parameter Estimation from Closed-Loop Data / 9.5：
Data Compatibility / 9.6：
Kinematic Equations / 10.1：
Data Reconstruction / 10.2：
Aircraft Instrumentation Errors / 10.3：
Model Equations for Data Compatibility Check / 10.4：
Instrumentation Error Estimation Methods / 10.5：
Data Analysis / 10.6：
Filtering / 11.1：
Smoothing / 11.2：
Interpolation / 11.3：
Numerical Differentiation / 11.4：
Signal Comparisons / 11.5：
Finite Fourier Transform / 11.6：
Power Spectrum Estimation / 11.7：
Maneuver Visualization / 11.8：
MATLAB Software / 11.9：
Overview / 12.1：
Linear Regression / 12.2：
Output-Error Parameter Estimation / 12.3：
Frequency Domain / 12.5：
Mathematical Background / 12.6：
Linear Algebra / A.1：
Complex Numbers / A.2：
Calculus / A.3：
Polynomial Splines / A.4：
Probability, Statistics, and Random Variables / Appendix B：
Random Variables / B.1：
Statistics / B.2：
Random Process Theory / B.3：
Reference Information / Appendix C：
Properties of Air and the Atmosphere / C.1：
Elementary Aerodynamics / C.2：
Mass/Inertia Properties / C.3：
Greek Alphabet and Conversion Factors / C.4：
Reference
F-16 Nonlinear Simulation / Appendix D：
F-16 Aircraft / D.1：
Equations of Motion / D.2：
Engine Model / D.3：
Aerodynamic Model / D.4：
Atmosphere Model / D.5：
Analysis Tools / D.6：
Index
Supporting Materials
Preface
Introduction / Chapter 1：
System Identification Applied to Aircraft / 1.1：
30.
図書
edited by S. Yoshida, ... [et al.]
31.
図書
Serban C. Moldoveanu, Victor David
目次情報:
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Introduction and General Considerations / Part 1.：
Preparatory Information / 1.：
Overview of a Chemical Analysis / 1.1.：
Types of Operations Used in Sample Preparation / 1.2.：
Some Theoretical Aspects of Phase Transfers / 1.3.：
Introductory Approach to Theory of Distribution Equilibria / 1.4.：
Some Aspects of Mass Transfer Processes / 1.5.：
Characterization of Chromatographic Separations / 1.6.：
General Characteristics of Separations / 1.7.：
Elementary Discussion on Thermodynamic and Kinetic Factors in Chemical Reactions / 1.8.：
Brief Survey on Molecular Interactions / 1.9.：
Empirical and Estimated Parameters for Sample Preparation Problems / 1.10.：
Introductory Discussion on Precision, Accuracy, Sensitivity, and Limit of Detection in Chemical Analysis / 1.11.：
Validation of an Analytical Method / 1.12.：
References 1
Sampling and Its Connection with Sample Preparation / 2.：
Relation of Sampling to Sample Preparation / 2.1.：
Representative Samples / 2.2.：
Techniques for Sample Collection / 2.3.：
Handling, Preservation, and Storage of Samples / 2.4.：
References 2
Overview on Sample Preparation for Chromatography / 3.：
The Role of Sample Preparation / 3.1.：
The Use of Preliminary Information for the Choice of a Sample Preparation Procedure / 3.2.：
Sample Homogenization and Dissolution / 3.3.：
Sample Cleanup, Fractionation, and Concentration / 3.4.：
Chemical Modifications of the Sample / 3.5.：
Other Types of Sample Modifications / 3.6.：
Differences in Sample Preparation for Different Chromatographic Techniques / 3.7.：
Quantitation Techniques in Chromatography and Their Relation to Sample Preparation / 3.8.：
Method Development in Sample Preparation / 3.9.：
References 3
Chromatography as the Core Step in an Analytical Process / 4.：
The Choice of the Core Analytical Technique / 4.1.：
Gas Chromatography as a Core Step in the Analytical Process / 4.2.：
Conventional High Performance Liquid Chromatography as a Core Analytical Technique / 4.3.：
Other Chromatography Types Used as a Core Analytical Technique / 4.4.：
References 4
Data Processing in Chromatographic Methods / 5.：
Information Gain from Chromatographic Data / 5.1.：
Qualitative and Quantitative Data from the Chromatographic Process / 5.2.：
References 5
Automation in Sample Preparation / 6.：
Automation in the Instrumentation Used in Sample Preparation / 6.1.：
Computer Assisted Method Development / 6.2.：
References 6
Sample Preparation Techniques Using Physical Processes / Part 2.：
Mechanical Processing in Sample Preparation / 7.：
Grinding, Sieving, and Blending / 7.1.：
Filtration, Microfiltration, and Ultrafiltration / 7.2.：
Centrifugation / 7.3.：
References 7
Phase Transfer Separations Applied in Sample Preparations / 8.：
Distillation, Vaporization, and Drying / 8.1.：
Dissolution, Crystallization, and Precipitation / 8.2.：
References 8
Headspace Sampling Techniques in Gas Chromatography / 9.：
Static Headspace Techniques / 9.1.：
Dynamic Headspace / 9.2.：
Other Headspace Techniques / 9.3.：
References 9
Solvent Extraction / 10.：
Liquid-Liquid Extraction / 10.1.：
Conventional Liquid-Solid Extraction / 10.2.：
Accelerated Solvent Extraction / 10.3.：
Microwave-Assisted Solvent Extraction / 10.4.：
Simultaneous Distillation and Extraction / 10.5.：
Supercritical Solvent Extraction / 10.6.：
References 10
Sorbent Extraction / 11.：
Solid Phase Extraction Procedures / 11.1.：
Solid Phase Microextraction / 11.2.：
Matrix Solid Phase Dispersion / 11.3.：
Other Solid Phase Sample Preparation Techniques / 11.4.：
References 11
Chromatographic Procedures as Preliminary Separation / 12.：
Gas Chromatography as a Sample Preparation Technique and Bidimensional GC / 12.1.：
Liquid Chromatography as a Sample Preparation Technique / 12.2.：
Size Exclusion Used in Sample Preparation / 12.3.：
References 12
Membrane Separations / 13.：
Gas Diffusion through Membranes and Stripping / 13.1.：
Reverse Osmosis and Dialysis / 13.2.：
References 13
Electroseparation Techniques in Sample Preparation / 14.：
Electrophoretic Techniques / 14.1.：
Other Electroseparation Techniques / 14.2.：
References 14
Other Separation Techniques in Sample Preparation / 15.：
Ion Exchange in Sample Preparation / 15.1.：
Other Techniques in Sample Preparation / 15.2.：
References 15
Sample Preparation Techniques Involving Chemical Modifications / Part 3.：
Chemical Modifications for Dissolution and Fractionation / 16.：
Chemical Modifications for Sample Dissolution / 16.1.：
Changes in pH and Chemical Modifications for Fractionation Purposes / 16.2.：
References 16
Purpose of Derivatization in Chromatographic Analysis / 17.：
General Aspects Regarding Derivatization / 17.1.：
Preparation of the Sample for Derivatization and Common Derivatization Labware / 17.2.：
Derivatization for Improving Gas Chromatographic Process / 17.3.：
Derivatization for Improving Detection in GC / 17.4.：
Derivatization for Improving Mass Spectral Identification / 17.5.：
Derivatization for Improving Detection in HPLC and TLC / 17.6.：
Derivatization for Chiral Separations / 17.7.：
References 17
Chemical Reactions Used in Derivatization / 18.：
Reactions with Formation of Alkyl or Aryl Derivatives / 18.1.：
Silylation Reactions / 18.2.：
Acylation Reactions / 18.3.：
Reactions of Addition to Carbon-Heteroatom Multiple Bonds Used for Derivatization / 18.4.：
Derivatization Reactions with Formation of Cyclic Compounds / 18.5.：
Other Derivatization Reactions / 18.6.：
Derivatization Reactions Involving Solid Phase Reagents / 18.7.：
Derivatization on a Solid Support / 18.8.：
References 18
Derivatization Reactions for Analytes with Various Functional Groups / 19.：
Derivatization of Compounds with Alcohols, Epoxide, or Ether Groups / 19.1.：
Derivatization Reactions for Phenols / 19.2.：
Derivatization Reactions for Thiols and Sulfides / 19.3.：
Derivatization of Compounds with Amino and Other Nitrogen-Containing Groups / 19.4.：
Derivatization of Aldehydes and Ketones / 19.5.：
Derivatization of Carboxylic Acids / 19.6.：
Derivatization of Amides, Esters, and Other Derivatives of Carboxylic Acids, and of Carbonic Acid / 19.7.：
Derivatization of Other Types of Organic Groups and of Organometallic and Inorganic Compounds / 19.8.：
Derivatization of Carbohydrates / 19.9.：
Derivatization of Amino Acids and Related Compounds / 19.10.：
Derivatization of Other Multifunctional Compounds / 19.11.：
References 19
Chemical Degradation of Polymers and Pyrolysis / 20.：
Chemical Degradation of Polymeric Carbohydrates / 20.1.：
Chemical Degradation of Proteins for Analytical Purposes / 20.2.：
Chemical Degradation of other Macromolecular Compounds / 20.3.：
Overview of Analytical Pyrolysis / 20.4.：
Pyrolysis as a Chemical Modification Technique / 20.5.：
Instrumentation Used in Analytical Pyrolysis / 20.6.：
Application of Analytical Pyrolysis / 20.7.：
References 20
Symbols, Units, and Constants
Index
Introduction and General Considerations / Part 1.：
Preparatory Information / 1.：
Overview of a Chemical Analysis / 1.1.：
32.
図書
edited by Thomas Laurell...[et al.]
33.
図書
editors, R. Delhez and E. J. Mittemeijer
34.
図書
editors, R. Delhez and E. J. Mittemeijer
35.
図書
edited by Dong Nyung Lee
36.
図書
edited by Y. Kojima ... [et al.]
37.
図書
volume editor, Stefan Schulz ; with contributions by T. Ando ... [et al.]
38.
図書
edited by Gun Wirtanen and Satu Salo
出版情報:
Vuorimiehentie, Finland : VTT Technology Research Centre of Finland, c2008 176,2,2 p. ; 25 cm
シリーズ名:
VTT Symposium ; 251
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39.
図書
Viktor P. Astakhov
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Preface
Generalized Model of Chip Formation / 1：
Introduction / 1.1：
Inadequacy of the Single-Shear Plane Model / 1.2：
What is the Model of Chip Formation? / 1.3：
System Concept in Metal Cutting / 1.4：
Influence of Cutting Speed / 1.5：
Formation of Saw-Toothed Chip / 1.7：
Frequency of Chip Formation / 1.8：
Formation of the Segmental Saw-Toothed Chip / 1.9：
Applicability and Significance of Chip Formation Models / 1.10：
References
Energy Partition in the Cutting System / 2：
Energy Flows in the Cutting System / 2.1：
Physical Efficiency of the Cutting System / 2.3：
Determination of the Work of Plastic Deformation in Metal Cutting / 2.4：
Practical Analysis of the Physical Efficiency of the Cutting System / 2.5：
Energy Balance of the Cutting System / 2.6：
Methods of Improving Physical Efficiency of the Cutting System / 2.7：
Tribology of the Tool-Chip and Tool-Workpiece Interfaces / 3：
Tool-Chip Interface / 3.1：
Tool-Workpiece Interface / 3.3：
Temperature at the Interfaces / 3.4：
Cutting Tool Wear, Tool Life and Cutting Tool Physical Resource / 4：
Known Approaches / 4.1：
Proper Assessment of Tool Wear / 4.3：
Optimal Cutting Temperature - The First Metal Cutting Law / 4.4：
Influence of Cutting Feed and Depth of Cut / 4.5：
Influence of Tool Geometry / 4.6：
Influence of Workpiece Diameter / 4.7：
Plastic Lowering of the Cutting Edge / 4.8：
Resource of the Cutting Wedge / 4.9：
Design of Experiments in Metal Cutting Tests / 5：
DOE in Machining: Terminology and Requirements / 5.1：
Screening Test / 5.3：
2k Factorial Experiment, Complete Block / 5.4：
Group Method of Data Handling / 5.5：
Improvements of Tribological Conditions / 6：
Cutting Fluids (Coolants) / 6.1：
Coatings / 6.2：
Improving Tribological Conditions by Modification of Properties of the Work Material / 6.3：
Basics, Definitions and Cutting Tool Geometry / Appendix A：
Basic Terms and Definitions / A1：
Reference Planes / A2：
Angles: Definitions / A3：
Determination of Uncut Chip Thickness for a General Case / A4：
Experimental Determination of the Chip Compression Ratio (CCR) / Appendix B：
General Experimental Techniques / B1：
Design of Experiment / B2：
Index
Preface
Generalized Model of Chip Formation / 1：
Introduction / 1.1：
40.
雑誌
Symposium (International) on Combustion ; Combustion Institute (U.S.)
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Pittsburgh, Pa. : Combustion Institute, c2000- v. ; 27 cm
巻次年月次:
Vol. 28, pt. 1 (2000)-
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41.
図書
editors, T.Chandra, Jose M. Torralba and T. Sakai
42.
図書
editedy by Roberto Fiore ...[et al.]
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edited by S. Brazovskii, N. Kirova, P. Monceau
44.
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edited by Giampiero Esposito, Gennaro Miele, Bruno Preziosi
45.
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edited by Stephan Narison
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édité par, F. Bosselet ... [et al.]
47.
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edited by Alexander C. Kalloniatis, Derek B. Leinweber and Anthony G. Williams
48.
図書
edited by Stephan Narison
49.
図書
edited by Manu Lahdes ; organized by VTT Information Technology, Finnish National Committee of URSI
出版情報:
Espoo, Finland : Valtion Teknillinen Tutkimuskeskus, c2004 154 p. ; 30 cm
シリーズ名:
VTT Symposium ; 235
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edited by Irma Lind, Olli Ernvall, and Sari Halme ; organised by VTT
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Vuorimiehentie, Finland : VTT Technology Research Centre of Finland, c2009 93 p. ; 25 cm
シリーズ名:
VTT Symposium ; 254
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