Enhancing the discrimination of alternatives in Fuzzy-Topsis

Santi, Éverton; Ferreira, Luciano; Borenstein, Denis

Enhancing the discrimination of alternatives in Fuzzy-Topsis

Página do item simplificado Estatísticas

dc.contributor.author	Santi, Éverton
dc.contributor.author	Ferreira, Luciano
dc.contributor.author	Borenstein, Denis
dc.date.accessioned	2020-11-23T19:08:03Z
dc.date.available	2020-11-23T19:08:03Z
dc.date.issued	2017-02-06
dc.description.resumo	Fuzzy-TOPSIS is one of the most widely applied methods for solving multi-attribute decision making problems. However, an analysis of academic and real-life applications of this method has pointed out that the final alternative scores are very close, with little dispersion among them, making it difficult for the decision makers’ to choice/ranking the alternatives. The main objective of this paper is to enhance the ability of Fuzzy-TOPSIS to discriminate alternatives, making it easy for a decision maker to select or ranking alternatives. To achieve this, we redefined the computation of the positive and negative ideal solution of the classical TOPSIS method as a combination of the fuzzy concordance and discordance indexes from Fuzzy-ELECTRE. The proposed model was validated in a real case study, and further compared with Fuzzy-ELECTRE, using simulation experiments, and Fuzzy-TOPSIS, using results from four recent papers published in the literature. The results obtained show that the proposed method improved the ranking and sorting of the alternatives for all analyzed cases, considering ranking dispersion, global interval range of the scores, and the difference between the first and second best alternatives. The main justification for this behavior is the partial non-compensatory nature of our method, introduced by incorporating some ELECTRE’s elements into Fuzzy-TOPSIS	pt_BR
dc.identifier.citation	SANTI, Éverton; FERREIRA, Luciano; BORENSTEIN, Denis. Enhancing The Discrimination of Alternatives in Fuzzy-Topsis. Infor: Information Systems and Operational Research, [S.L.], v. 53, n. 4, p. 155-169, nov. 2015. Disponível em: https://www.tandfonline.com/doi/abs/10.3138/infor.53.4.155?journalCode=tinf20. Acesso em: 08 set. 2020. http://dx.doi.org/10.3138/infor.53.4.155	pt_BR
dc.identifier.doi	10.3138/infor.53.4.155
dc.identifier.issn	0315-5986
dc.identifier.uri	https://repositorio.ufrn.br/handle/123456789/30634
dc.language	en	pt_BR
dc.publisher	Taylor and Francis	pt_BR
dc.subject	Multicriteria	pt_BR
dc.subject	ELECTRE	pt_BR
dc.subject	Decision making	pt_BR
dc.subject	TOPSIS	pt_BR
dc.subject	Fuzzy sets	pt_BR
dc.title	Enhancing the discrimination of alternatives in Fuzzy-Topsis	pt_BR
dc.type	article	pt_BR