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Detection of level of satisfaction and fuzziness patterns for MCDM model with modified flexible S-curve MF

P., Vasant and A., Bhattacharya and B., Sarkar and S.K., Mukherjee (2007) Detection of level of satisfaction and fuzziness patterns for MCDM model with modified flexible S-curve MF. [Citation Index Journal]

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Abstract

The present research work deals with a logistic membership function (MF), within non-linear MFs, in finding out fuzziness patterns in disparate level of satisfaction for Multiple Criteria Decision-Making (MCDM) problem. This MF is a modified form of general set of S-curve MF. Flexibility of this MF in applying to real world problem has also been validated through a detailed analysis. An example illustrating an MCDM model applied in an industrial engineering problem has been considered to demonstrate the veracity of the proposed technique. The approach presented here provides feedback to the decision maker, implementer and analyst and gives a clear indication about the appropriate application and usefulness of the MCDM model. The key objective of this paper is to guide decision makers in finding out the best candidate-alternative with higher degree of satisfaction with lesser degree of vagueness under tripartite fuzzy environment. © 2006 Elsevier B.V. All rights reserved.

Item Type:Citation Index Journal
Uncontrolled Keywords:Decision making; Mathematical models; Membership functions; Problem solving; AHP; Fuzziness patterns; Multiple Criteria Decision Making (MCDM); S-curve MF; Tripartite fuzzy systems; Fuzzy logic
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:407
Deposited By: Mr Helmi Iskandar Suito
Deposited On:09 Mar 2010 01:08
Last Modified:19 Jan 2017 08:27

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