Fuzzy patterns in multi-level of satisfaction for MCDM model using modified smooth S-curve MF

Pandian Vasant, A. Bhattacharya, N. N. Barsoum

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


Present research work relates to a methodology using modified smooth logistic membership function (MF) in finding out fuzzy patterns in multi-level of satisfaction (LOS) for Multiple Criteria Decision-Making (MCDM) problem. Flexibility of this MF in applying to real world problem has been validated through a detailed analysis. An example elucidating an MCDM model applied in an industrial engineering problem is considered to demonstrate the veracity of the proposed methodology. The key objective of this paper is to guide decision makers (DM) in finding out the best candidate-alternative with higher degree of satisfaction with lesser degree of vagueness under tripartite fuzzy environment. The approach presented here provides feedback to the decision maker, implementer and analyst.

Original languageEnglish
Title of host publicationFuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings
PublisherSpringer-Verlag Berlin Heidelberg
Number of pages10
EditionPART II
ISBN (Print)9783540283317
Publication statusPublished - 1 Jan 2006
Externally publishedYes
EventSecond International Confernce on Fuzzy Systems and Knowledge Discovery, FSKD 2005 - Changsha, China
Duration: 27 Aug 200529 Aug 2005

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
ISSN (Print)0302-9743


ConferenceSecond International Confernce on Fuzzy Systems and Knowledge Discovery, FSKD 2005

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