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An Innovative Fuzzy-Neural Decision Analyzer for Qualitative Group Decision Making

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  • Ki-Young Song

    (School of Mechanical and Power Engineering, East China University of Science and Technology, Meilong Road 130, Shanghai 200237, China;
    Department of Mechanical Engineering, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8656, Japan)

  • Gerald T. G. Seniuk

    (College of Law, The University of Saskatchewan, 15 Campus Drive, Saskatoon, SK S7N 5A6, Canada)

  • Janusz A. Kozinski

    (Lassonde School of Engineering, York University, 4700 Keele St, Toronto, ON M3J 1P3, Canada)

  • Wen-Jun Zhang

    (School of Mechanical and Power Engineering, East China University of Science and Technology, Meilong Road 130, Shanghai 200237, China;
    College of Engineering, The University of Saskatchewan, 57 Campus Drive, Saskatoon, SK S7N 5A9, Canada)

  • Madan M. Gupta

    (College of Engineering, The University of Saskatchewan, 57 Campus Drive, Saskatoon, SK S7N 5A9, Canada)

Abstract

Many qualitative group decisions in professional fields such as law, engineering, economics, psychology, and medicine that appear to be crisp and certain are in reality shrouded in fuzziness as a result of uncertain environments and the nature of human cognition within which the group decisions are made. In this paper, we introduce an innovative approach to group decision making in uncertain situations by using fuzzy theory and a mean-variance neural approach. The key idea of this proposed approach is to defuzzify the fuzziness of the evaluation values from a group, compute the excluded-mean of individual evaluations and weight it by applying a variance influence function (VIF); this process of weighting the excluded-mean by VIF provides an improved result in the group decision making. In this paper, a case study with the proposed fuzzy-neural approach is also presented. The results of this case study indicate that this proposed approach can improve the effectiveness of qualitative decision making by providing the decision maker with a new cognitive tool to assist in the reasoning process.

Suggested Citation

  • Ki-Young Song & Gerald T. G. Seniuk & Janusz A. Kozinski & Wen-Jun Zhang & Madan M. Gupta, 2015. "An Innovative Fuzzy-Neural Decision Analyzer for Qualitative Group Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 659-696.
    • Handle: RePEc:wsi:ijitdm:v:14:y:2015:i:03:n:s0219622015500029
    DOI: 10.1142/S0219622015500029
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    Cited by:

    1. Jeff Morgan & Garret E. O’Donnell, 2018. "Cyber physical process monitoring systems," Journal of Intelligent Manufacturing, Springer, vol. 29(6), pages 1317-1328, August.

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