An innovative process for qualitative group decision making employing fuzzy-neural decision analyzer

Ki Young Song, Gerald T.G. Seniuk, Madan M. Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationAdvance Trends in Soft Computing
Subtitle of host publicationProceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA
PublisherSpringer Verlag
Pages439-450
Number of pages12
ISBN (Print)9783319036731
DOIs
Publication statusPublished - 2014
Externally publishedYes

Publication series

NameStudies in Fuzziness and Soft Computing
Volume312
ISSN (Print)1434-9922

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