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

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

doi:10.1007/978-3-319-03674-8_42

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

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

The University of Tokyo
University of Saskatchewan

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-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 language	English
Title of host publication	Advance Trends in Soft Computing
Subtitle of host publication	Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA
Publisher	Springer Verlag
Pages	439-450
Number of pages	12
ISBN (Electronic)	9783319036748
ISBN (Print)	9783319036731
DOIs	https://doi.org/10.1007/978-3-319-03674-8_42
Publication status	Published - 2014
Externally published	Yes

Publication series

Name	Studies in Fuzziness and Soft Computing
Volume	312
ISSN (Print)	1434-9922
ISSN (Electronic)	1860-0808

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1007/978-3-319-03674-8_42

Cite this

Song, K. Y., Seniuk, G. T. G., & Gupta, M. M. (2014). An innovative process for qualitative group decision making employing fuzzy-neural decision analyzer. In Advance Trends in Soft Computing: Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA (pp. 439-450). (Studies in Fuzziness and Soft Computing; Vol. 312). Springer Verlag. https://doi.org/10.1007/978-3-319-03674-8_42

@inproceedings{078792ca809d4effa52fdeaf3fdffa06,

title = "An innovative process for qualitative group decision making employing fuzzy-neural decision analyzer",

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.",

author = "Song, \{Ki Young\} and Seniuk, \{Gerald T.G.\} and Gupta, \{Madan M.\}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.",

year = "2014",

doi = "10.1007/978-3-319-03674-8\_42",

language = "English",

isbn = "9783319036731",

series = "Studies in Fuzziness and Soft Computing",

publisher = "Springer Verlag",

pages = "439--450",

booktitle = "Advance Trends in Soft Computing",

}

Song, KY, Seniuk, GTG & Gupta, MM 2014, An innovative process for qualitative group decision making employing fuzzy-neural decision analyzer. in Advance Trends in Soft Computing: Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA. Studies in Fuzziness and Soft Computing, vol. 312, Springer Verlag, pp. 439-450. https://doi.org/10.1007/978-3-319-03674-8_42

An innovative process for qualitative group decision making employing fuzzy-neural decision analyzer. / Song, Ki Young; Seniuk, Gerald T.G.; Gupta, Madan M.
Advance Trends in Soft Computing: Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA. Springer Verlag, 2014. p. 439-450 (Studies in Fuzziness and Soft Computing; Vol. 312).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - An innovative process for qualitative group decision making employing fuzzy-neural decision analyzer

AU - Song, Ki Young

AU - Seniuk, Gerald T.G.

AU - Gupta, Madan M.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84958551830

U2 - 10.1007/978-3-319-03674-8_42

DO - 10.1007/978-3-319-03674-8_42

M3 - Conference Proceeding

AN - SCOPUS:84958551830

SN - 9783319036731

T3 - Studies in Fuzziness and Soft Computing

SP - 439

EP - 450

BT - Advance Trends in Soft Computing

PB - Springer Verlag

ER -

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

Abstract

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