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

Vasant, Pandian, Bhattacharya, A. and Barsoum, N. N. (2006) Fuzzy patterns in multi-level of satisfaction for MCDM model using modified smooth S-curve MF. In: Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3614 (PART II). Springer-Verlag Berlin Heidelberg, CHN, pp. 1294-1303. ISBN 9783540283317

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Abstract

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.

Item Type: Book Section
Uncontrolled Keywords: theoretical computer science,computer science(all) ,/dk/atira/pure/subjectarea/asjc/2600/2614
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Depositing User: LivePure Connector
Date Deposited: 05 May 2020 00:12
Last Modified: 14 Jun 2020 23:35
URI: https://ueaeprints.uea.ac.uk/id/eprint/75010
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