T-Spherical fuzzy ORESTE method based on cross-entropy measures and its application in multiple attribute decision-making

被引：16
|
作者：
Yang, Wei [1 ]
Pang, Yongfeng [1 ]
机构：
[1] Xian Univ Architecture & Technol, Sch Sci, Dept Math, Xian 710055, Shaanxi, Peoples R China
来源：
SOFT COMPUTING | 2022年 / 26卷 / 19期
基金：
中国国家自然科学基金;
关键词：
Multiple attribute decision-making; T-Spherical fuzzy set; Aggregation operator; ORESTE; MEAN OPERATORS; SETS;
D O I：
10.1007/s00500-022-07287-2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The T-spherical fuzzy set is a useful tool to model evaluation values in decision-making process. To solve multiple attribute group decision-making problem with T-spherical fuzzy evaluation values and unknown attribute weights, this paper proposed T-Spherical fuzzy ORESTE method based on T-spherical fuzzy cross-entropy measures. First, some T-spherical fuzzy cross-entropy measures are developed, which are used to determine experts weights. Then, the T-Spherical fuzzy ORESTE method is introduced based on new cross-entropy measures, in which the evaluation values of alternatives and attributes are all in the form of T-spherical fuzzy values. Finally, a case of selecting transformation alternatives for old communities is presented to illustrate feasibility of the proposed method. Some comparisons of the proposed method with other T-Spherical fuzzy methods are also conducted to show effectiveness and reliability of the new method.
引用
收藏
页码：10371 / 10387
页数：17
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