• DocumentCode
    3263585
  • Title

    Generating consensus fuzzy cognitive maps

  • Author

    Bryson, Noel ; Mobolurin, Ayodele ; Joseph, Anito

  • Author_Institution
    Inf. Syst. & Anal. Dept., Howard Univ., Washington, DC, USA
  • fYear
    35765
  • fDate
    8-10 Dec1997
  • Firstpage
    231
  • Lastpage
    235
  • Abstract
    The Fuzzy Cognitive Maps (FCM) of B. Kosko (1986) are useful tools for exploring the impacts of inputs to fuzzy dynamical systems. The development of an FCM often occurs within a group context because it is felt that the variety of perspectives on the given dynamical system improves the effort to identify the relevant concepts and the causal relationships between the concepts. The assumption is that combining incomplete, conflicting opinions of different experts may cancel out the effects of oversight, ignorance and prejudice. There is also then need to accommodate the inherent fuzziness of the problem. We present an integrated process for rating of the intensity of causal relationships, generating mean FCMs, assessing group consensus, and supporting the building of group consensus
  • Keywords
    cognitive systems; directed graphs; fuzzy set theory; fuzzy systems; human factors; knowledge representation; user modelling; causal relationships; conflicting opinions; consensus fuzzy cognitive map generation; dynamical system; fuzzy dynamical systems; group consensus; group context; inherent fuzziness; integrated process; Delay; Fuzzy cognitive maps; Information analysis; Quantum cascade lasers; Signal generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Systems, 1997. IIS '97. Proceedings
  • Conference_Location
    Grand Bahama Island
  • Print_ISBN
    0-8186-8218-3
  • Type

    conf

  • DOI
    10.1109/IIS.1997.645234
  • Filename
    645234