Hesitant fuzzy multi-attribute decision making based on binary connection number of set pair analysis

被引：15
作者：
Shen, Qing [1 ,3 ]
Lou, Jungang [2 ,3 ]
Liu, Yong [4 ]
Jiang, Yunliang [2 ,3 ]
机构：
[1] Huzhou Coll, Sch Sci & Engn, Huzhou 313000, Zhejiang, Peoples R China
[2] Huzhou Coll, Sch Informat Engn, Huzhou 313000, Zhejiang, Peoples R China
[3] Zhejiang Prov Key Lab Smart Management & Applicat, Huzhou, Peoples R China
[4] Zhejiang Univ, Inst Cyber Syst & Control, Hangzhou 310027, Zhejiang, Peoples R China
来源：
SOFT COMPUTING | 2021年 / 25卷 / 23期
基金：
中国国家自然科学基金;
关键词：
Hesitant fuzzy sets; Probabilistic hesitant fuzzy sets; Multi-attribute decision making; Binary connection number; Conditional decision making; LINGUISTIC TERM SETS; SIMILARITY MEASURES; AGGREGATION;
D O I：
10.1007/s00500-021-06215-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To objectively evaluate the influence of hesitant fuzziness on the ranking of alternatives in multi-attribute decision making with hesitant fuzzy or probabilistic hesitant fuzzy information, the binary connection number of set pair analysis is applied to hesitant fuzzy multi-attribute decision making. The hesitant or probabilistic hesitant fuzzy set is transformed to the binary connection number. A hesitant fuzzy multi-attribute decision making model based on binary connection number is then established. Binary connection number theory is utilized to obtain the hesitant fuzzy center and decision-making suggestions about the alternative ranking under different hesitant fuzzy conditions. Experimental examples show that the hesitant fuzzy multi-attribute decision making model based on binary connection number has a certain versatility. It can determine the optimal scheme under the influence of hesitant fuzziness on the alternative ranking and contains the results of the same hesitant fuzzy decision-making problem using other methods, which helps in targeted decision making according to different hesitant fuzzy conditions.
引用
收藏
页码：14797 / 14807
页数：11
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