• DocumentCode
    1661599
  • Title

    Fuzzy consensus models in GDSS

  • Author

    Fedrizzi, Mario

  • Author_Institution
    Dept. of Comput. Sci. & Manage. Eng., Trento Univ., Italy
  • fYear
    1995
  • Firstpage
    284
  • Lastpage
    287
  • Abstract
    The basic framework within which we operate here is the following one: there is a group of experts which must choose a preferred alternative from a finite set of admissible ones according to several criteria. Each expert is called upon to evaluate linguistically the alternatives in terms of their performance with respect to each criterion. The task of the experts is to reach some agreement during a consensus reaching process directed by a moderator. In our approach the measure of consensus depends on a function estimated for each expert according to his/her so called opinion changing aversion (OCA) and the aggregation process is based on ordered weighted average (OWA) operators
  • Keywords
    decision support systems; formal languages; fuzzy set theory; group decision support systems; groupware; linguistics; GDSS; aggregation process; consensus reaching process; finite set; function estimation; fuzzy consensus models; moderator; opinion changing aversion; ordered weighted average operators; Computer networks; Decision making; Decision support systems; Fuzzy logic; Open wireless architecture; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
  • Conference_Location
    Dunedin
  • Print_ISBN
    0-8186-7174-2
  • Type

    conf

  • DOI
    10.1109/ANNES.1995.499490
  • Filename
    499490