FUZZY-DISTANCE FUNCTION APPROACH FOR MULTIPLE CRITERIA DECISION MAKING
In this paper, a method for decision making using fuzzy integral and distance function is presented. Case studies of multiple-response process with correlated responses are used to illustrate the effective application of the proposed approach. The efficacy of this method is compared with the existin...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia
2012-06-01
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Series: | International Journal for Quality Research |
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Online Access: | http://www.ijqr.net/journal/v6-n2/4.pdf |
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author | Mayank Kumar Prasun Das |
author_facet | Mayank Kumar Prasun Das |
author_sort | Mayank Kumar |
collection | DOAJ |
description | In this paper, a method for decision making using fuzzy integral and distance function is presented. Case studies of multiple-response process with correlated responses are used to illustrate the effective application of the proposed approach. The efficacy of this method is compared with the existing methods of MCDM like TOPSIS and GRA. The proposed method is robust, requires less information and less complex as compared to many existing methods. |
first_indexed | 2024-12-19T12:16:49Z |
format | Article |
id | doaj.art-866015ebe7e64112855e163cc337c114 |
institution | Directory Open Access Journal |
issn | 1800-6450 1800-7473 |
language | English |
last_indexed | 2024-12-19T12:16:49Z |
publishDate | 2012-06-01 |
publisher | Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia |
record_format | Article |
series | International Journal for Quality Research |
spelling | doaj.art-866015ebe7e64112855e163cc337c1142022-12-21T20:21:56ZengCenter for Quality, Faculty of Engineering, University of Kragujevac, SerbiaInternational Journal for Quality Research1800-64501800-74732012-06-0162119124FUZZY-DISTANCE FUNCTION APPROACH FOR MULTIPLE CRITERIA DECISION MAKINGMayank Kumar0Prasun Das1B.E., CSE, Birla institute of Technology(Mesra, Ranchi), India SQC& OR Division, Indian Statistical Institute, Kolkata 108, IndiaIn this paper, a method for decision making using fuzzy integral and distance function is presented. Case studies of multiple-response process with correlated responses are used to illustrate the effective application of the proposed approach. The efficacy of this method is compared with the existing methods of MCDM like TOPSIS and GRA. The proposed method is robust, requires less information and less complex as compared to many existing methods.http://www.ijqr.net/journal/v6-n2/4.pdfMCDMFuzzy IntegralDecision MeasureAlternatives |
spellingShingle | Mayank Kumar Prasun Das FUZZY-DISTANCE FUNCTION APPROACH FOR MULTIPLE CRITERIA DECISION MAKING International Journal for Quality Research MCDM Fuzzy Integral Decision Measure Alternatives |
title | FUZZY-DISTANCE FUNCTION APPROACH FOR MULTIPLE CRITERIA DECISION MAKING |
title_full | FUZZY-DISTANCE FUNCTION APPROACH FOR MULTIPLE CRITERIA DECISION MAKING |
title_fullStr | FUZZY-DISTANCE FUNCTION APPROACH FOR MULTIPLE CRITERIA DECISION MAKING |
title_full_unstemmed | FUZZY-DISTANCE FUNCTION APPROACH FOR MULTIPLE CRITERIA DECISION MAKING |
title_short | FUZZY-DISTANCE FUNCTION APPROACH FOR MULTIPLE CRITERIA DECISION MAKING |
title_sort | fuzzy distance function approach for multiple criteria decision making |
topic | MCDM Fuzzy Integral Decision Measure Alternatives |
url | http://www.ijqr.net/journal/v6-n2/4.pdf |
work_keys_str_mv | AT mayankkumar fuzzydistancefunctionapproachformultiplecriteriadecisionmaking AT prasundas fuzzydistancefunctionapproachformultiplecriteriadecisionmaking |