Consensus Under Fuzziness / Edition 1by Janusz Kacprzyk
Pub. Date: 12/31/1996
Publisher: Springer US
This work focuses on consensus formation in multiperson decision-making groups using imprecise information. The editors have solicited and organized important contributions on this subject from leading experts in the field. The well-known contributors include Ronald Yager, Henri Prade, George Klier, and János Fodor, among others. These contributions are… See more details below
This work focuses on consensus formation in multiperson decision-making groups using imprecise information. The editors have solicited and organized important contributions on this subject from leading experts in the field. The well-known contributors include Ronald Yager, Henri Prade, George Klier, and János Fodor, among others. These contributions are original and are concerned with issues related to modeling and monitoring of consensus-reaching processes under fuzzy preferences and fuzzy majorities. The chapters include an array of paradigms, tools and techniques that can help develop new analytical tools for consensus-reaching processes.
Table of Contents
Preface. 1: Introductions. Consensus, Negotiation and Mediation; K. Lehrer. Fuzziness and the Normative Theory of Social Choice; P.K. Pattanaik. Types and Measures of Uncertainty; G.J. Klir, D. Harmanec. 2: Tools and Techniques for Measuring and Monitoring Consensus Reaching. 'Soft' Degrees of Consensus under Fuzzy Preferences and Fuzzy Majorities; J. Kacprzyk, et al. An Approach to the Consensus Reaching Support in Fuzzy Environment; S. Zadrozny. The Dichotomous Approach to Soft Consensus Measurement; S. Greco. Consensus Based on Fuzzy Coincidence for Group Decision Making in Linguistic Setting; F. Herrera, et al. Modeling Preference Relations and Consensus in a Linguistic Environment: An Approach Based on OWA Operators; G. Bordogna, et al. 3: New Paradigms and Architectures for Modeling Consensus Reaching. Prool for Negotiations Among Multiple Intelligent Agents; R.R. Yager. The Development of Fuzzy Consensus Via Neural Modelling; W. Pedrycz. 4: Auxiliary Formal Tools and Techniques for Modeling Consensus Reaching. Consensus for Decomposable Measures; J. Fodor, et al. Construction of Fuzzy Utility Functions in Group Decision Making; F. Seo. Problem Solving with Multiple Interdependent Criteria; Ch. Carlsson, R. Fuller. Lexicographical Solutions in n-Person Cooperative Games with Multiple Scenarios; M. Sakawa, I. Nishizaki. 5: Applications and Case Studies. Identification of Ideological Dimensions under Fuzziness: The Case of Poland; J. Holubiec, et al. Determining Weights of Research Topics on the Basis of Expert Judgements. The Case of Systems Research Institute; D. Wagner. Index.
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