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A New Model of Efficiency-Oriented Group Decision and Consensus Reaching Support in a Fuzzy Environment

  • Dominika Gołuńska
  • Janusz Kacprzyk
  • Sławomir Zadrożny
Part of the Communications in Computer and Information Science book series (CCIS, volume 443)

Abstract

We present a novel comprehensive model of a consensus reaching support system in the fuzzy context. We assume the individual fuzzy preferences, a fuzzy majority in group decision making, as proposed by Kacprzyk [9], some fuzzy majority based solution concepts in group decision making, notably fuzzy cores (cf. Kacprzyk [9]) and their choice function based representations by Kacprzyk and Zadrożny [15],[16], a soft degree of consensus by Kacprzyk and Fedrizzi [10],[11]. Using as a point of departure Kacprzyk and Zadrożny’s [18] approach of the use of linguistic data summaries to support the running of a consensus reaching process, we develop and implement a novel approach that synergistically combines the tools and techniques mentioned above. We assume that moderated consensus reaching process which is run in the group of agents by a special agent called a moderator, is the most effective and efficient solution. We attempt to facilitate the work of a moderator, by some useful guidelines and additional indicators. We extend this idea and finally, we present a new implementation followed by a numerical evaluation of the new model proposed.

Keywords

consensus reaching group decision support systems fuzzy preference relations soft degree of consensus linguistic quantifier fuzzy cores 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Dominika Gołuńska
    • 1
    • 2
  • Janusz Kacprzyk
    • 2
  • Sławomir Zadrożny
    • 2
  1. 1.Department of Automatic Control and Information TechnologyCracow University of TechnologyCracowPoland
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland

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