Fuzzy Multicriteria Decision-Making Models,

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.

Witold Pedrycz, Electrical & Computer Engineering, University of Alberta, Canada
Witold Pedrycz is a Professor and Canada Research Chair (CRC) in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences. His research covers computational intelligence, fuzzy modeling, knowledge discovery and data mining, fuzzy control including fuzzy controllers, pattern recognition, knowledge-based neural networks, relational computation, bioinformatics, and software engineering. He has published numerous papers in this area, and is also the author of 11 research monographs covering various aspects of computational intelligence and software engineering. He currently serves as Editor-in-Chief of IEEE Trans. on Systems, Man and Cybernetics, Part A and Information Sciences. He is also an Associate Editor of IEEE Transactions on Fuzzy Systems.

Petr Ekel is a Professor in the Graduate Program in Electrical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, Brazil. His research activities in the field of system modeling, optimization, and control include discrete and fuzzy programming, fuzzy multicriteria decision-making, fuzzy preference modeling, fuzzy identification and control. More than 40 projects with industry, including projects based on applying techniques of decision-making in a fuzzy environment and fuzzy identification and control, have been realized under his leadership or with his participation. Petr Ekel has been a member of numerous program committees of conferences related to system modeling, optimization, and control, including conferences in the areas of computational intelligence and fuzzy sets. He is a member of the editorial boards of several international journals.

Roberta Parreiras received a PhD in electrical engineering from the Federal University of Minas Gerais, Belo Horizonte, Brazil, in 2006. In 2008, she concluded her post-doctoral activities in the Pontifical Catholic University of Minas Gerais, Belo Horizonte, Brazil, where she is currently as an assistant professor in the Electrical Engineering Department. Her research has been reported in papers and book chapters in the areas of multicriteria fuzzy decision-making, group decision-making, consensus schemes, multiobjective optimization, evolutionary search algorithms and robust optimization.

About the Authors
Foreword
Preface
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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Fuzzy Multicriteria Decision-Making Models, Methods and Applications

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