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dc.contributor.authorŞahin R.
dc.date.accessioned20.04.201910:49:12
dc.date.accessioned2019-04-20T21:43:33Z
dc.date.available20.04.201910:49:12
dc.date.available2019-04-20T21:43:33Z
dc.date.issued2016
dc.identifier.issn1432-7643
dc.identifier.urihttps://dx.doi.org/10.1007/s00500-015-1657-x
dc.identifier.urihttps://hdl.handle.net/20.500.12403/600
dc.description.abstractA new accuracy function for the theory of interval-valued intuitionistic fuzzy set, which overcomes some difficulties arising in the existing methods for determining rank of interval-valued intuitionistic fuzzy numbers, is proposed by taking into account the hesitancy degree of interval-valued intuitionistic fuzzy sets. By comparing it with several proposed accuracy functions, the necessity and efficiency of our accuracy function are provided by giving related examples. A fuzzy multicriteria decision making method is established to select the best alternative in multicriteria decision making process which is taken as interval-valued intuitionistic fuzzy set of criterion values for alternatives. While aggregating the interval-valued intuitionistic fuzzy information corresponding to each alternative, we utilize the interval-valued intuitionistic fuzzy weighted aggregation operators. Then the accuracy degree of the aggregated interval-valued intuitionistic fuzzy information is computed via the new proposed accuracy function. Thus, we can rank all the alternatives according to the accuracy function and choose the optimal one(s). Finally, an illustrative example is given to demonstrate the practicality and effectiveness of the proposed approach. © 2015, Springer-Verlag Berlin Heidelberg.en_US
dc.language.isoengen_US
dc.publisherSpringer Verlag
dc.relation.isversionof10.1007/s00500-015-1657-x
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAccuracy function
dc.subjectAggregation operators
dc.subjectFuzzy multicriteria decision making
dc.subjectInterval-valued intuitionistic fuzzy sets
dc.subjectDecision making
dc.subjectMathematical operators
dc.subjectAccuracy functions
dc.subjectAggregation operator
dc.subjectFuzzy multi-criteria decision makings
dc.subjectInterval-valued intuitionistic fuzzy informations
dc.subjectInterval-valued intuitionistic fuzzy number
dc.subjectInterval-valued intuitionistic fuzzy sets
dc.subjectIntuitionistic fuzzy
dc.subjectMulti criteria decision making
dc.subjectFuzzy sets
dc.subjectAccuracy function
dc.subjectAggregation operators
dc.subjectFuzzy multicriteria decision making
dc.subjectInterval-valued intuitionistic fuzzy sets
dc.subjectDecision making
dc.subjectMathematical operators
dc.subjectAccuracy functions
dc.subjectAggregation operator
dc.subjectFuzzy multi-criteria decision makings
dc.subjectInterval-valued intuitionistic fuzzy informations
dc.subjectInterval-valued intuitionistic fuzzy number
dc.subjectInterval-valued intuitionistic fuzzy sets
dc.subjectIntuitionistic fuzzy
dc.subjectMulti criteria decision making
dc.subjectFuzzy sets
dc.titleFuzzy multicriteria decision making method based on the improved accuracy function for interval-valued intuitionistic fuzzy setsen_US
dc.typearticleen_US
dc.relation.journalSoft Computingen_US
dc.contributor.departmentBayburt Universityen_US
dc.contributor.authorID56285350800
dc.identifier.volume20
dc.identifier.issue7
dc.identifier.startpage2557
dc.identifier.endpage2563
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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