Vasant, P. and Bhattacharya, A. and Barsoum, N.N. (2006) Fuzzy patterns in multi-level of satisfaction for MCDM model using modified smooth S-curve MF. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3614 L. pp. 1294-1303. ISSN 03029743
Full text not available from this repository.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. © Springer-Verlag Berlin Heidelberg 2005.
Item Type: | Article |
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Additional Information: | cited By 0; Conference of 2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005 ; Conference Date: 27 August 2005 Through 29 August 2005; Conference Code:68203 |
Uncontrolled Keywords: | Decision feedback equalizers; Decision making; Decision theory; Industrial engineering; Logic programming; Problem solving, Decision makers (DM); Logistic membership function (MF); Multiple Criteria Decision Making (MCDM); Real world problem, Fuzzy sets |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:15 |
Last Modified: | 09 Nov 2023 15:15 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/126 |