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Consensus Under Fuzziness : Kluwer International Series in Intelligent Technologies, 10 - Janusz Kacprzyk

Consensus Under Fuzziness

Kluwer International Series in Intelligent Technologies, 10

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


Published: 31st December 1996
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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.

Consensus, negotiation and mediationp. 3
Fuzziness and the normative theory of social choicep. 17
Types and measures of uncertaintyp. 29
"Soft" degrees of consensus under fuzzy preferences and fuzzy majoritiesp. 55
An approach to the consensus reaching support in fuzzy environmentp. 83
The dichotomous approach to soft consensus measurementp. 111
Consensus based on fuzzy coincidence for group decision making in linguistic settingp. 121
Modeling preference relations and consensus in a linguistic environment: an approach based on OWA operatorsp. 147
Protocol for negotiations among multiple intelligent agentsp. 165
The development of fuzzy consensus via neural modellingp. 175
Consensus for decomposable measuresp. 191
Construction of fuzzy utility functions in group decision makingp. 211
Problem solving with multiple interdependent criteriap. 231
Lexicographical solutions in n-person cooperative games with multiple scenariosp. 247
Identification of ideological dimensions under fuzziness: the case of Polandp. 267
Determining weights of research topics on the basis of expert judgments. The case of Systems Research Institutep. 285
Indexp. 301
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780792398394
ISBN-10: 0792398394
Series: Kluwer International Series in Intelligent Technologies, 10
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 303
Published: 31st December 1996
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 24.13 x 16.51  x 1.91
Weight (kg): 0.7