Some picture fuzzy Bonferroni mean operators with their application to multicriteria decision making

被引:48
|
作者
Ates, Fatma [1 ]
Akay, Diyar [2 ]
机构
[1] Necmettin Erbakan Univ, Fac Engn & Architecture, Dept Ind Engn, Konya, Turkey
[2] Gazi Univ, Fac Engn, Dept Ind Engn, TR-06570 Ankara, Turkey
关键词
aggregation operators; Bonferroni mean; multicriteria decision making; picture fuzzy numbers; picture fuzzy sets; AGGREGATION OPERATORS; SELECTION; MODEL;
D O I
10.1002/int.22220
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we extend the Bonferroni mean (BM) operator with the picture fuzzy numbers (PFNs) to propose novel picture fuzzy aggregation operators and demonstrate their application to multicriteria decision making (MCDM). On the basis of the algebraic operational rules of PFNs and BM, we introduce some aggregation operators: the picture fuzzy Bonferroni mean, the picture fuzzy normalized weighted Bonferroni mean, and the picture fuzzy ordered weighted Bonferroni mean. Then, a new picture fuzzy MCDM method is proposed with the help of the proposed operators. Lastly, a practical application of proposed model is given to verify the developed model and related results of the proposed model is compared with the results of the existing models to indicate its applicability.
引用
收藏
页码:625 / 649
页数:25
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