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＜電子ブック＞
Consensus Under Fuzziness / edited by J. Kacprzyk, H. Nurmi, Mario Fedrizzi
(International Series in Intelligent Technologies ; 10)

版	1st ed. 1997.
出版者	New York, NY : Springer US : Imprint: Springer
出版年	1997
本文言語	英語
大きさ	VIII, 303 p : online resource
著者標目	Kacprzyk, J editor Nurmi, H editor Fedrizzi, Mario editor SpringerLink (Online service)
件　名	LCSH:Operations research LCSH:Mathematical logic FREE:Operations Research and Decision Theory FREE:Mathematical Logic and Foundations
一般注記	1. Introductory Sections -- Consensus, negotiation and mediation -- Fuzziness and the normative theory of social choice -- Types and measures of uncertainty -- 2. Tools and Techniques for Measuring and Monitoring Consensus Reaching -- “Soft” degrees of consensus under fuzzy preferences and fuzzy majorities -- An approach to the consensus reaching support in fuzzy environment -- The dichotomous approach to soft consensus measurement -- Consensus based on fuzzy coincidence for group decision making in linguistic setting -- Modeling preference relations and consensus in a linguistic environment: an approach based on OWA operators -- 3. New Paradigms and Architectures for Modeling Consensus Reaching -- Protocol for negotiations among multiple intelligent agents -- The development of fuzzy consensus via neural modelling -- 4. Auxiliary Formal Tools and Techniques for Modeling Consensus Reaching -- Consensus for decomposable measures -- Construction of fuzzy utility functions in group decision making -- Problem solving with multiple interdependent criteria -- Lexicographical solutions in n-person cooperative games with multiple scenarios -- 5. Applications and Case Studies -- Identification of ideological dimensions under fuzziness: the case of Poland -- Determining weights of research topics on the basis of expert judgments. The case of Systems Research Institute 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 HTTP:URL=https://doi.org/10.1007/978-1-4615-6333-4

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