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Part I: Introduction 1 Introduction 3 2 Fuzzy Sets 3 Crisp Random Numbers and Vectors 4 Random Fuzzy Numbers and Vectors 5 Tests for Randomness Part II: Applications 6 Fuzzy Monte Carlo Method 7 Fully Fuzzi ed Linear Programming I 8 Fully Fuzzi ed Linear Programming II 9 Fuzzy... Read Full Overview

Monte Carlo Methods in Fuzzy Optimization is a clear and didactic book about Monte Carlo methods using random fuzzy numbers to obtain approximate solutions to fuzzy optimization problems. The book includes various solved problems such as fuzzy linear programming, fuzzy regression,... Read Full Overview

1. 1 Introduction The objective of this book is to introduce Monte Carlo methods to ?nd good approximate solutions to fuzzy optimization problems. Many crisp (nonfuzzy) optimization problems have algorithms to determine solutions. This is not true for fuzzy optimization. There... Read Full Overview