2017
DOI: 10.3233/jifs-141219
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Intuitionistic fuzzy induced ordered weighted averaging distance operator and its application to decision making

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Cited by 57 publications
(35 citation statements)
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“…Note that researchers can extend the UAO operator by adding some other key concepts like distance measures (Zeng, Merigó, & Su, 2013), fuzzy systems (Zeng, Su, & Le, 2012), power aggregations (Wei, Zhao, Wang, & Lin, 2013), Choquet integrals (Belles, Merigó, Guillen, & Santolino, 2014;Wei, Lin, Zhao, & Wang, 2014) and generalized multiple aggregations (Zhou, Chen, & Liu, 2013).…”
Section: Aggregation Systemsmentioning
confidence: 99%
“…Note that researchers can extend the UAO operator by adding some other key concepts like distance measures (Zeng, Merigó, & Su, 2013), fuzzy systems (Zeng, Su, & Le, 2012), power aggregations (Wei, Zhao, Wang, & Lin, 2013), Choquet integrals (Belles, Merigó, Guillen, & Santolino, 2014;Wei, Lin, Zhao, & Wang, 2014) and generalized multiple aggregations (Zhou, Chen, & Liu, 2013).…”
Section: Aggregation Systemsmentioning
confidence: 99%
“…The idea is to use the specific cases pertinent to the problem at hand. Other popular aggregation operators are the Choquet integrals (Belles, Merigó, Guillen, & Santolino, 2014), distance measures (Zeng, Su, & Le, 2012), generalized aggregation operators (Zhou, Chen, & Liu, 2013) and fuzzy systems (Zhao, Lin, & Wei, 2013).…”
Section: Aggregation Systemsmentioning
confidence: 99%
“…It is impractical to express the evaluation information by accurate measurement and crisp numerical values. Since intuitionistic fuzzy set (IFS) [17] considers the membership and non-membership degrees simultaneously, it is flexible and practical in dealing with ambiguity and uncertainty [18][19][20][21][22][23][24][25][26][27][28][29][30][31].…”
Section: Introductionmentioning
confidence: 99%