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

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Advance Trends in Soft Computing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 312))

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.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, The University of Tokyo, Tokyo, Japan

    Ki-Young Song

  2. College of Law, University of Saskatchewan, Saskatoon, Canada

    Gerald T. G. Seniuk

  3. Intelligent Systems Research Laboratory, College of Engineering, University of Saskatchewan, Saskatoon, Canada

    Madan M. Gupta

Authors
  1. Ki-Young Song
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  2. Gerald T. G. Seniuk
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  3. Madan M. Gupta
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Corresponding author

Correspondence to Ki-Young Song .

Editor information

Editors and Affiliations

  1. The University of Texas, San Antonio, Texas, USA

    Mo Jamshidi

  2. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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© 2014 Springer International Publishing Switzerland

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Song, KY., Seniuk, G.T.G., Gupta, M.M. (2014). An Innovative Process for Qualitative Group Decision Making Employing Fuzzy-Neural Decision Analyzer. In: Jamshidi, M., Kreinovich, V., Kacprzyk, J. (eds) Advance Trends in Soft Computing. Studies in Fuzziness and Soft Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-03674-8_42

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  • DOI: https://doi.org/10.1007/978-3-319-03674-8_42

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03673-1

  • Online ISBN: 978-3-319-03674-8

  • eBook Packages: EngineeringEngineering (R0)

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