Some novel similarity and distance measures of pythagorean fuzzy sets and their applications

被引:91
|
作者
Li, Zengxian [1 ]
Lu, Mao [2 ]
机构
[1] Sichuan Normal Univ, Coll Math & Software Sci, Chengdu 610066, Sichuan, Peoples R China
[2] Sichuan Normal Univ, Sch Business, Chengdu, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Hamming distance; Hausdorff distance; Pythagorean fuzzy sets; hybrid Pythagorean fuzzy normalized distance; the set-theoretic approach; the matching function; the notion of complement; the continuous functions; HAMACHER AGGREGATION OPERATORS; TODIM METHOD;
D O I
10.3233/JIFS-179241
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 Hamming distance, the Hausdorff distance with Pythagorean fuzzy sets (PFSs) to define the generalized Pythagorean fuzzy normalized Hamming distance, the generalized Pythagorean fuzzy normalized Hausdorff distance and the generalized hybrid Pythagorean fuzzy normalized distance. According to the relation between distance and similarity measure, we can obtain similarity measure. Furthermore, we study the Pythagorean fuzzy weighted distance and similarity measures. On the basis of the set-theoretic approach, the matching function, the notion of complement and the continuous functions, we extend other similarity measures. In the end, we utilize an applicable example to prove the proposed methods.
引用
收藏
页码:1781 / 1799
页数:19
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