Multicriteria Decision-Making Under Conditions of Uncertainty
A Fuzzy Set Perspective
1. Edition February 2020
368 Pages, Hardcover
Wiley & Sons Ltd
A guide to the various models and methods to multicriteria decision-making in conditions of uncertainty presented in a systematic approach
Multicriteria Decision-Making under Conditions of Uncertainty presents approaches that help to answer the fundamental questions at the center of all decision-making problems: "What to do?" and "How to do it?" The book explores methods of representing and handling diverse manifestations of the uncertainty factor and a multicriteria nature of problems that can arise in system design, planning, operation, and control. The authors--noted experts on the topic--and their book covers essential questions, including notions and fundamental concepts of fuzzy sets, models and methods of multiobjective as well as multiattribute decision-making, the classical approach to dealing with uncertainty of information and its generalization for analyzing multicriteria problems in condition of uncertainty, and more.
This comprehensive book contains information on "harmonious solutions" in multiobjective problem-solving (analyzing
* Explains the design and processing aspect of fuzzy sets, including construction of membership functions, fuzzy numbers, fuzzy relations, aggregation operations, and fuzzy sets transformations
* Describes models of multiobjective decision-making (
* Investigates models of multiattribute decision-making (
* Explores notions of payoff matrices and fuzzy-set-based generalization and modification of the classic approach to decision-making under conditions of uncertainty to generate robust solutions in analyzing multicriteria problems
Written for students, researchers and practitioners in disciplines in which decision-making is of paramount relevance, Multicriteria Decision-Making under Conditions of Uncertainty presents a systematic and current approach that encompasses a range of models and methods as well as new applications.
Chapter 2: Notions and Concepts of Fuzzy Sets: An Introduction
Chapter 3: Design and Processing Aspects of Fuzzy Sets
Chapter 6: Dealing with Uncertainty of Information: A Classic Approach
Chapter 7: Generalization of the Classic Approach to Dealing with Uncertainty of Information and General Scheme of Multicriteria Decision Making under Conditions of Uncertainty
WITOLD PEDRYCZ, DSc (habil.), PhD, is a Full Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada.
JOEL PEREIRA, JR., PhD, is a Researcher in ASOTECH - Advanced System Optimization Technologies Ltda., Belo Horizonte, Brazil.