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New, unified, comprehensive and application-oriented perspective to the state of the art of uncertainty in decision-making.Decision-making processes and models have an evident and frequent role in real-world applications, and there is an increasing interest in dealing with complex problems and processes in which uncertainty, including uncertainty associated with human factors, plays a pivotal role. Models and Algorithms of Fuzzy Multicriteria Decision-Making and Their Applications addresses theoretical and practical gaps in considering uncertainty and multicriteria factors in system project, planning, and control. The authors provide a systematic exposure of the concepts, design methodology, and detailed algorithms. The material is self-contained and provides the reader with all prerequisite knowledge, augmenting some parts with a step-by-step explanation of more advanced concepts. These are supported by a significant amount of illustrative numeric material and some application scenarios to motivate the reader and make some abstract concepts more tangible. Every chapter is accompanied by exercises and problems, and an accompanying website provides PPT slides and auxiliary exercises/problems as well as worked-through examples.
Table of Contents
About the Authors
Decision Making in System Project, Planning, Operation, and Control: Motivation, Objective, and Basic Concepts
Notions and Concepts of Fuzzy Sets: An Introduction
Selected Design and Processing Aspects of Fuzzy Sets
Continuous Models of Multicriteria Decision Making and their Analysis
Introduction to Preference Modeling with Binary Fuzzy Relations
Construction of Fuzzy Preference Relations
Discrete Models of Multicriteria Decision Making and their Analysis
Generalization of a Classic Approach to Dealing with Uncertainty of Information for Multicriteria Decision Problems
Group Decision-Making: Fuzzy Models
Use of Consensus Schemes in Group Decision Making
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