Description: Multicriteria Decision-Making Under Conditions of Uncertainty: A Fuzzy Set Pe... Product Overview 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 _models), construction and analysis of models, results aimed at generating robust solutions in analyzing multicriteria problems under uncertainty, and more. In addition, the book includes illustrative examples of various applications, including real- world case studies related to the authors’ various industrial projects. This important resource: 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 ( models), their analysis on the basis of using the Bellman-Zadeh approach to decision-making in a fuzzy environment, and their diverse applications, including multicriteria allocation of resources Investigates models of multiattribute decision-making ( models) and their analysis on the basis of the construction and processing of fuzzy preference relations as well as demonstrating their applications to solve diverse classes of multiattribute problems 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. Details Publisher : Wiley; 1st edition (December 12, 2019) Language : English Hardcover : 368 pages ISBN-10 : 1119534925 ISBN-13 : 21 Item Weight : 1.56 pounds Dimensions : 6.2 x 0.9 x 9.2 inches Best Sellers Rank: #3,663,787 in Books (See Top 100 in Books) #506,893 in Textbooks #506,893 in Textbooks Quality Products Have peace of mind knowing that your order will arrive original factory sealed packaging. That means that you'll have the full force of the manufacturer's warranty to protect your purchase. Fast and Free Shipping You're already purchasing the item. Why pay additional for shipping, especially slow shipping? We get your order shipped out and delivered to your doorstep as quickly as possible. Commitment We are committed to making sure that you leave this transaction satisfied. That means having access to real people that get your questions and concerns answered quickly. Give us a shot and we will make sure that you will look to us again!
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Brand: Wiley
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ISBN: 1119534925
ISBN10: 1119534925
ISBN13: 9781119534921
Item Length: 9.2in.
Item Height: 0.9in.
Item Width: 6.2in.
Author: Petr Ekel, Witold Pedrycz, Joel Pereira Jr.
Publication Name: Multicriteria Decision-Making under Conditions of Uncertainty : a Fuzzy Set Perspective
Format: Hardcover
Language: English
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2019
Type: Textbook
Item Weight: 24.9 Oz
Number of Pages: 368 Pages