Consensus Under Fuzziness

By: Janusz Kacprzyk (Editor), Hannu Nurmi (Editor), Mario Fedrizzi (Editor)

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Hardcover | 31 December 1996

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Hardcover
316 Pages

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24.13 x 16.51 x 1.91

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We live, unfortunately, in turbulent and difficult times plagued by various political, economic, and social problems, as well as by natural disasters worldwide. Systems become more and more complicated, and this concerns all levels, exemplified first by global political alliances, groups of countries, regions, etc., and secondly, by multinational (global) corporations and companies of all sizes. These same concerns affect all social groups. This all makes decision processes very complicated. In virtually all decision processes in these complicated systems, there are various actors (decision makers) who represent individual subjects (persons, countries, companies, etc.) and their respective interest groups. To reach a meaningful (good) decision, opinions of all such actors must be taken into account or a given decision may be rejected and not implemented. Ideally, a decision would be made after a consensus between the parties involved had been attained. So, consensus is a very desirable situation. In most real-world cases there is considerable uncertainty concerning all aspects of the decision making process. Moreover, opinions, goals, constraints, etc. are usually imprecisely known. This makes the decision making process difficult as one cannot employ conventional "hard" tools.

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You Can Find This Book In

Non-Fiction Mathematics Mathematical Foundation Mathematical Logic Psychology Reference, Information & Interdisciplinary Subjects Research & Information Decision Theory Business & Management Management & Management Techniques Management Decision Making Computing & I.T.

Computer Science Artificial Intelligence Operational Research

Preface
Consensus, negotiation and mediation	p. 3
Fuzziness and the normative theory of social choice	p. 17
Types and measures of uncertainty	p. 29
"Soft" degrees of consensus under fuzzy preferences and fuzzy majorities	p. 55
An approach to the consensus reaching support in fuzzy environment	p. 83
The dichotomous approach to soft consensus measurement	p. 111
Consensus based on fuzzy coincidence for group decision making in linguistic setting	p. 121
Modeling preference relations and consensus in a linguistic environment: an approach based on OWA operators	p. 147
Protocol for negotiations among multiple intelligent agents	p. 165
The development of fuzzy consensus via neural modelling	p. 175
Consensus for decomposable measures	p. 191
Construction of fuzzy utility functions in group decision making	p. 211
Problem solving with multiple interdependent criteria	p. 231
Lexicographical solutions in n-person cooperative games with multiple scenarios	p. 247
Identification of ideological dimensions under fuzziness: the case of Poland	p. 267
Determining weights of research topics on the basis of expert judgments. The case of Systems Research Institute	p. 285
Index	p. 301
Table of Contents provided by Blackwell. All Rights Reserved.

Consensus Under Fuzziness

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Hardcover

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