An MCDM method under neutrosophic cubic fuzzy sets with geometric bonferroni mean operator

被引：0
|
作者：
Ajay D. [1 ,3 ]
Broumi S. [2 ]
Aldring J. [1 ,3 ]
机构：
[1] Department of Mathematics, Sacred Heart College, Tamilnadu
[2] Laboratory of Information Processing, Faculty of Science Ben MSik, University Hassan II, Casablanca
[3] Department of Mathematics, Sacred Heart College, Tamilnadu
来源：
Neutrosophic Sets and Systems | 2020年 / 32卷
关键词：
Aggregation operators; Bonferroni geometric mean; Cubic fuzzy sets; MCDM; Neutrosophic sets;
D O I：
10.5281/zenodo.3723621
中图分类号：
学科分类号：
摘要：
Neutrosophic cubic fuzzy sets (NCFSs) involve interval valued and single valued neutrosophic sets, and are used to describe uncertainty or fuzziness in a more efficient way. Aggregation of neutrosopic cubic fuzzy information is crucial and necessary in a decision making theory. In order to get a better solution to decision making problems under neutrosophic cubic fuzzy environment, this paper introduces an aggregating operator to neutrosophic cubic fuzzy sets with the help of Bonferroni mean and geometric mean, and proposes neutrosophic cubic fuzzy geometric Bonferroni mean operator (NCFGBMu, v) with its properties. Then, an efficient decision making technique is introduced based on weighted operator WNCFGBM. An application of the established method is also examined for a real life problem. © 2020.
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页码：187 / 202
页数：15
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