Fuzzy multicriteria decision making method based on the improved accuracy function for interval-valued intuitionistic fuzzy sets
dc.authorid | 56285350800 | |
dc.contributor.author | Şahin R. | |
dc.date.accessioned | 20.04.201910:49:12 | |
dc.date.accessioned | 2019-04-20T21:43:33Z | |
dc.date.available | 20.04.201910:49:12 | |
dc.date.available | 2019-04-20T21:43:33Z | |
dc.date.issued | 2016 | |
dc.department | Bayburt Üniversitesi | en_US |
dc.description.abstract | A 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.identifier.doi | 10.1007/s00500-015-1657-x | |
dc.identifier.endpage | 2563 | |
dc.identifier.issn | 1432-7643 | |
dc.identifier.issue | 7 | |
dc.identifier.scopus | 2-s2.0-84925250830 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.startpage | 2557 | |
dc.identifier.uri | https://dx.doi.org/10.1007/s00500-015-1657-x | |
dc.identifier.uri | https://hdl.handle.net/20.500.12403/600 | |
dc.identifier.volume | 20 | |
dc.identifier.wos | WOS:000380288800005 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Verlag | |
dc.relation.ispartof | Soft Computing | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Accuracy function | |
dc.subject | Aggregation operators | |
dc.subject | Fuzzy multicriteria decision making | |
dc.subject | Interval-valued intuitionistic fuzzy sets | |
dc.subject | Decision making | |
dc.subject | Mathematical operators | |
dc.subject | Accuracy functions | |
dc.subject | Aggregation operator | |
dc.subject | Fuzzy multi-criteria decision makings | |
dc.subject | Interval-valued intuitionistic fuzzy informations | |
dc.subject | Interval-valued intuitionistic fuzzy number | |
dc.subject | Interval-valued intuitionistic fuzzy sets | |
dc.subject | Intuitionistic fuzzy | |
dc.subject | Multi criteria decision making | |
dc.subject | Fuzzy sets | |
dc.subject | Accuracy function | |
dc.subject | Aggregation operators | |
dc.subject | Fuzzy multicriteria decision making | |
dc.subject | Interval-valued intuitionistic fuzzy sets | |
dc.subject | Decision making | |
dc.subject | Mathematical operators | |
dc.subject | Accuracy functions | |
dc.subject | Aggregation operator | |
dc.subject | Fuzzy multi-criteria decision makings | |
dc.subject | Interval-valued intuitionistic fuzzy informations | |
dc.subject | Interval-valued intuitionistic fuzzy number | |
dc.subject | Interval-valued intuitionistic fuzzy sets | |
dc.subject | Intuitionistic fuzzy | |
dc.subject | Multi criteria decision making | |
dc.subject | Fuzzy sets | |
dc.title | Fuzzy multicriteria decision making method based on the improved accuracy function for interval-valued intuitionistic fuzzy sets | en_US |
dc.type | Article | en_US |