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dc.contributor.authorŞahin R.
dc.date.accessioned20.04.201910:49:12
dc.date.accessioned2019-04-20T21:43:01Z
dc.date.available20.04.201910:49:12
dc.date.available2019-04-20T21:43:01Z
dc.date.issued2018
dc.identifier.issn0941-0643
dc.identifier.urihttps://dx.doi.org/10.1007/s00521-017-2896-9
dc.identifier.urihttps://hdl.handle.net/20.500.12403/346
dc.description.abstractNormal neutrosophic set, which allows a combination of the normal fuzzy number and the neutrosophic number, is a powerful tool for handling the incompleteness, indeterminacy and inconsistency of evaluation information. Based on the opinion of prioritized aggregation operators developed to describe the prioritization relationships among several attributes, this paper investigates some prioritized aggregation operators for aggregating the normal neutrosophic information, such as normal neutrosophic prioritized weighted averaging operator and normal neutrosophic prioritized weighted geometric operator, and then extends these operators to the generalized prioritized weighted aggregation operators, including normal neutrosophic generalized prioritized weighted averaging operator and normal neutrosophic generalized prioritized weighted geometric operator, respectively. They can take into account the prioritization facts in the aggregated information. Moreover, some of their desirable properties are investigated in detail. A multiple attribute decision-making method is developed for solving a kind of problems in which the decision attributes have different priority level commonly and they take the form of normal neutrosophic numbers. Finally, an illustrative example based on the prioritization relationship over the evaluation data is given to depict the effectiveness and feasibility of the developed decision-making method, which are then compared to the existing approaches. © 2017, The Natural Computing Applications Forum.en_US
dc.language.isoengen_US
dc.publisherSpringer London
dc.relation.isversionof10.1007/s00521-017-2896-9
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMultiple attribute decision making
dc.subjectNeutrosophic set
dc.subjectNormal fuzzy set
dc.subjectNormal neutrosophic prioritized aggregation operator
dc.subjectNormal neutrosophic set
dc.subjectDecision making
dc.subjectFuzzy sets
dc.subjectStatistical methods
dc.subjectAggregated information
dc.subjectAggregation operator
dc.subjectDecision-making method
dc.subjectMultiple attribute decision making
dc.subjectNeutrosophic sets
dc.subjectNormal fuzzy number
dc.subjectPrioritization relationships
dc.subjectPrioritized aggregation operators
dc.subjectMathematical operators
dc.subjectMultiple attribute decision making
dc.subjectNeutrosophic set
dc.subjectNormal fuzzy set
dc.subjectNormal neutrosophic prioritized aggregation operator
dc.subjectNormal neutrosophic set
dc.subjectDecision making
dc.subjectFuzzy sets
dc.subjectStatistical methods
dc.subjectAggregated information
dc.subjectAggregation operator
dc.subjectDecision-making method
dc.subjectMultiple attribute decision making
dc.subjectNeutrosophic sets
dc.subjectNormal fuzzy number
dc.subjectPrioritization relationships
dc.subjectPrioritized aggregation operators
dc.subjectMathematical operators
dc.titleNormal neutrosophic multiple attribute decision making based on generalized prioritized aggregation operatorsen_US
dc.typearticleen_US
dc.relation.journalNeural Computing and Applicationsen_US
dc.contributor.departmentBayburt Universityen_US
dc.contributor.authorID56285350800
dc.identifier.volume30
dc.identifier.issue10
dc.identifier.startpage3095
dc.identifier.endpage3115
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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