2004
DOI: 10.1142/s0218488504002886
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Ranking-Intuitionistic Fuzzy Numbers

Abstract: Intuitionistic fuzzy sets are a generalization of ordinary fuzzy sets which are characterized by a membership function and a non-membership function. In this paper we consider the problem of ranking a set of intuitionistic fuzzy numbers. We adopt a statistical viewpoint and interpret each intuitionistic fuzzy number as an ensemble of ordinary fuzzy numbers. This enables us to define a fuzzy rank and a characteristic vagueness factor for each intuitionistic fuzzy number. We show the reasonablesness of the resul… Show more

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Cited by 140 publications
(61 citation statements)
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“…However, there is no unique best approach exists. In [18] proposed a ranking method to order triangular intuitionistic fuzzy numbers by accepting a statistical viewpoint and interpreting each IFN as ensemble of ordinary fuzzy numbers. Ye [28] presented the notations of simplified neutrosophic sets and gave the operational laws of simplified neutrosophic sets.…”
Section: Related Workmentioning
confidence: 99%
“…However, there is no unique best approach exists. In [18] proposed a ranking method to order triangular intuitionistic fuzzy numbers by accepting a statistical viewpoint and interpreting each IFN as ensemble of ordinary fuzzy numbers. Ye [28] presented the notations of simplified neutrosophic sets and gave the operational laws of simplified neutrosophic sets.…”
Section: Related Workmentioning
confidence: 99%
“…P. Grzegorzewski et.al 15 , H.B. Mitchell et.al 16 , G. Nayagam et.al 17 , H.M. Nehi et.al 18 , S. Rezvani et.al 19 have been employed concept of intuitionistic fuzzy number in multi-attribute decision making(MADM) problem .So indeterminate information should be considered in decision making process. A few research work has been done on neutrosophic optimization in the field of structural optimization.…”
Section: Introductionmentioning
confidence: 99%
“…Mitchell [11] proposed a ranking method to order triangular intuitionistic fuzzy numbers (TIFNs) by accepting a statistical viewpoint and interpreting each IFN as ensemble of ordinary fuzzy numbers. Ranking of TIFN on the basis of value index to ambiguity index is proposed by Li [9] and solved a multiattribute decision-making problem.…”
Section: Introductionmentioning
confidence: 99%