作者: Hong-Xing Li , Vincent C. Yen
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摘要: The Basics of Fuzzy Set Theory Phenomena and Concepts Naive Thoughts Sets Definition Basic Operations Resolution Theorem A Representation Extension Principles References Factor Spaces What are "Factors"? State Space Factors Relations Between Axiomatic Describing in a Decision-Making Feedback Its Applications Ranks Degrees Coincidence Equivalence Sufficient Coincident How to Improve the Precision Intention Concept Forms Limitations Weighted Average Formula Determination Membership Functions General Method for Determining Three-Phase Incremental Multiphase Statistical Comparisons Absolute Comparison Set-Valued Iteration Ordering by Precedence Relative Mean Pair-Wise Multifactorial Analysis Background Problem Additive Standard Properties ASMm-funcs Generations Model Variable Weights Defining An Empirical Weight with Multiple Objectives Models Evaluation Approach Classification Quality Incomplete Multi-Level Application Textile Engineering Statistics Degree Random Falling Shadow Experiments Mathematical Employee Refinements Operators Structure Zadeh's Common Generalized Strength "AND" "OR" Based on Decision Evidence Brief Introduction Composition Belief Measures Two Special Types Maximum Principle Object Evaluations