●Preface
Symbols and Abbreviations
Chapter 1 Credibility Measure Space 1
1.1 Ample Space 1
1.2 Fuzzy Vector 2
1.3 Credibility Measure 4
1.4 Credibility Distribution Function 11
1.5 Building Credibility Measure 12
1.6 Generating L-S Measures 21
1.7 Bibliographical Notes 26
Chapter 2 Product Credibility Measure 30
2.1 Finite-Dimensional Product Space 30
2.2 Infinite-Dimensional Product Space 35
2.3 Existence of Credibility Measure Space 45
2.4 Arithmetic of Fuzzy Variables 54
2.5 Bibliographical Notes 59
Chapter 3 Convergence of Approximation 61
3.1 Convergence Criteria 61
3.2 Convergence Relations 64
3.3 Approximation Techniques 65
3.4 Credibility Simulation 70
3.5 Critical Value Simulation 77
3.6 Bibliographical Notes 81
Chapter 4 Credibilistic Independence 84
4.1 Marginal Credibility Distributions 84
4.2 Independence of Fuzzy Vectors 90
4.3 Linear Combinations of Fuzzy Variables 99
4.4 Independence of Fuzzy Events 101
4.5 Bibliographical Notes 105
Chapter 5 Numerical Characteristics 107
5.1 Expected Value Operators 107
5.2 Independence Linearity 112
5.3 Dominated Convergence Theorems 118
5.4 Expected Value Simulation 124
5.5 Variance of Fuzzy Variable 129
5.6 Absolute Deviations 135
5.7 Spread of Fuzzy Variable 148
5.8 Relation between Var and Sp 155
5.9 Moment of Fuzzy Variable 158
5.10 Skewness and Kurtosis 165
5.11 Bibliographical Notes 166
Chapter 6 Lr Space of Fuzzy Variables 168
6.1 Uniform Integrability 168
6.2 Important Inequalities 172
6.3 Completeness of Lr Space 173
6.4 Bibliographical Notes 179
Chapter 7 Credibilistic Orders 180
7.1 Usual Credibilistic Order 180
7.2 Credibilistic Stop-Loss Order 188
7.3 Credibilistic Convex Order 190
7.4 Bibliographical Notes 193
Chapter 8 Credibilistic Risk Measures 194
8.1 Value at Risk 194
8.2 Conditional Value at Risk 206
8.3 CVaR Computational Formulas 210
8.4 Bibliographical Notes 213
Chapter 9 Credibilistic Comonotonicity 215
9.1 Comonotonic Set 215
9.2 Comonotonic Fuzzy Vector 215
9.3 Two-ary Fuzzy Vector 221
9.4 Bibliographical Notes 224
Chapter 10 Credibilistic Laws 225
10.1 Independence 225
10.2 Definitions of Laws 227
10.3 Law of Large Numbers 229
10.4 Bibliographical Notes 234
Chapter 11 Credibilistic Processes 235
11.1 L-R Fuzzy Variable 235
11.2 Renewal Process 236
11.3 Renewal Reward Process 245
11.4 Bibliographical Notes 250
Bibliography 251
Appendix List of Frequently Used CDFs 271
Index 273

可信性測度論是處理主觀不確定性的一種常用數學分析工具，在實際決策問題中存在著廣泛的應用。本書主要目的是介紹這一廣義測度理論近15年的發展狀況。全書共分十一章分別介紹可信性測度空間公理化體繫、乘積可信性測度理論、逼近方法與收斂模式、模糊向量的獨立性、模糊變量的各種數字特征、一致可積與Lr空間的完備性、可信性排序、可信性風險度量、可信性同單調、可信性大數定律以及可信性過程等。