HESITANT FUZZY MULTI-ATTRIBUTE DECISION-MAKING METHOD BASED ON SIGNED CORRELATION AND PRIORITIZATION RELATIONSHIP

被引：0
|
作者：
Liu, Ruobing [1 ]
Ruan, Chuan-Yang [2 ]
Li, Deng-Feng [3 ]
Xu, Hui [2 ]
机构：
[1] South China Univ Techonol, Sch Business & Adm, Guangzhou 510006, Guangdong, Peoples R China
[2] Guangdong Univ Finance & Econ, Sch Business Adm, Guangzhou 510320, Guangdong, Peoples R China
[3] Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Fujian, Peoples R China
来源：
JOURNAL OF NONLINEAR AND CONVEX ANALYSIS | 2019年 / 20卷 / 06期
关键词：
Hesitant fuzzy set; multi-attribute decision-making; hesitation degree; signed correlation; priority; CORRELATION-COEFFICIENT; INFORMATION MEASURES; SETS; DISTANCE; TOPSIS;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
To solve the excessive subjectivity problem caused by artificially added elements in hesitant fuzzy elements, we propose a hesitant fuzzy decision making method based on signed correlation that considers attribute priority. In order to consider the variance of the elements and the number of elements, we propose the hesitation degree of hesitant fuzzy set, and on this basis, hesitant fuzzy signed correlation measurement is defined. These are then applied to the multi-attribute decision-making problem in multi-sensor electronic reconnaissance. Comparative analyses are made via simulation to test the rationality and validity of the proposed method.
引用
收藏
页码：1241 / 1252
页数：12
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