Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making

We propose some similarity measures between two triangular fuzzy numbers (TFNs) based on the vector similarity measures in vector space, which can be used to aggregate the decision information with TFNs. A methodology for multiple criteria group decision-making (MCGDM) problems with triangular fuzzy...

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Main Authors: Liyuan Zhang, Xuanhua Xu, Li Tao
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/538261
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author Liyuan Zhang
Xuanhua Xu
Li Tao
author_facet Liyuan Zhang
Xuanhua Xu
Li Tao
author_sort Liyuan Zhang
collection DOAJ
description We propose some similarity measures between two triangular fuzzy numbers (TFNs) based on the vector similarity measures in vector space, which can be used to aggregate the decision information with TFNs. A methodology for multiple criteria group decision-making (MCGDM) problems with triangular fuzzy information is proposed; the criteria values take the form of linguistic values, which can be converts to TFNs. According to the weighted similarity measures between each alternative and ideal alternative, it is easy to rank alternatives and select the most desirable alternative. Finally, we apply the proposed methods to an illustrative example of MCGDM; the numerical results show that our method is effective and practical. For comparison, we also apply our similarity measures method to solve the fuzzy decision-making problem in Wei (2011); our method has simpler computation and gets the same results more rapidly than the FLOWHM method.
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issn 1110-757X
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publishDate 2013-01-01
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record_format Article
series Journal of Applied Mathematics
spelling doaj-art-e5f02e0936874ea584fae7563455a0a32025-02-03T05:49:36ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/538261538261Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-MakingLiyuan Zhang0Xuanhua Xu1Li Tao2School of Business, Central South University, Changsha, Hunan 410083, ChinaSchool of Business, Central South University, Changsha, Hunan 410083, ChinaSchool of Science, Shandong University of Technology, Zibo, Shandong 255049, ChinaWe propose some similarity measures between two triangular fuzzy numbers (TFNs) based on the vector similarity measures in vector space, which can be used to aggregate the decision information with TFNs. A methodology for multiple criteria group decision-making (MCGDM) problems with triangular fuzzy information is proposed; the criteria values take the form of linguistic values, which can be converts to TFNs. According to the weighted similarity measures between each alternative and ideal alternative, it is easy to rank alternatives and select the most desirable alternative. Finally, we apply the proposed methods to an illustrative example of MCGDM; the numerical results show that our method is effective and practical. For comparison, we also apply our similarity measures method to solve the fuzzy decision-making problem in Wei (2011); our method has simpler computation and gets the same results more rapidly than the FLOWHM method.http://dx.doi.org/10.1155/2013/538261
spellingShingle Liyuan Zhang
Xuanhua Xu
Li Tao
Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making
Journal of Applied Mathematics
title Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making
title_full Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making
title_fullStr Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making
title_full_unstemmed Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making
title_short Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making
title_sort some similarity measures for triangular fuzzy number and their applications in multiple criteria group decision making
url http://dx.doi.org/10.1155/2013/538261
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AT litao somesimilaritymeasuresfortriangularfuzzynumberandtheirapplicationsinmultiplecriteriagroupdecisionmaking