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Uncertain Fuzzy Preference Relations and Their Applications

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Produktnummer: 18253b296b903e40b5bf3fe1b2ff999c42
Autor: Gong, Zaiwu Lin, Yi Yao, Tianxiang
Themengebiete: Fuzzy Sets Group Decision Making Intuitionistic Fuzzy Sets Preference Relation Uncertainty Decision Making
Veröffentlichungsdatum: 24.08.2012
EAN: 9783642284472
Sprache: Englisch
Seitenzahl: 210
Produktart: Gebunden
Verlag: Springer Berlin
Produktinformationen "Uncertain Fuzzy Preference Relations and Their Applications"
On the basis of fuzzy sets and some of their relevant generalizations, this book systematically presents the fundamental principles and applications of group decision making under different scenarios of preference relations. By using intuitionistic knowledge as the field of discourse, this work investigates by utilizing innovative research means the fundamental principles and methods of group decision making with various different intuitionistic preferences: Mathematical reasoning is employed to study the consistency of group decision making; Methods of fusing information are applied to look at the aggregation of multiple preferences; Techniques of soft computing and optimization are utilized to search for satisfactory decision alternatives.             Each chapter follows the following structurally clear format of presentation: literature review, development of basic theory, verification and reasoning of principles , construction of models and computational schemes, and numerical examples, which cover such areas as technology, enterprise competitiveness, selection of airlines, experts decision making in weather-sensitive enterprises, etc.             In terms of theoretical principles, this book can be used as a reference for researchers in the areas of management science, information science, systems engineering, operations research, and other relevant fields. It can also be employed as textbook for upper level undergraduate students and graduate students. In terms of applications, this book will be a good companion for all those decision makers in government, business, and technology areas.

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