计算机工程与科学2018，Vol.40Issue(1)：133-138,6.DOI:10.3969/j.issn.1007-130X.2018.01.020
基于正弦函数的直觉模糊集相似度测量及其应用
Similarity measure of intuitionistic fuzzy sets based on sine function and its application
杨勇 1张东升 1王艳茹 1张亚男1
作者信息
- 1. 西北师范大学计算机科学与工程学院,甘肃兰州730070
- 折叠
摘要
Abstract
Similarity measure is an important method to measure the similarity between two intuitionsitic fuzzy sets.Many formulas about similarity measure have been proposed,but some are unable to classify or involve complicated calculation in practical applications.To solve this problem,based on the cotangent similarity measurement method proposed by Tian and the information carried by the membership degree,nonmembership degree and hesitancy degree,we propose two sine similarity measure formulas which prove to be correct.Then we conduct comparative analysis among various similarity measures by several numerical examples to illustrate the effectiveness of the proposed sine similarity measures.Finally,the effectiveness of the method is illustrated by an example.关键词
直觉模糊集/相似度/隶属度/非隶属度/犹豫度/正弦相似度测量Key words
intuitionistic fuzzy set/similarity/membership degree/nonmembership degree/hesitancy degree/sine similarity measure分类
信息技术与安全科学引用本文复制引用
杨勇,张东升,王艳茹,张亚男..基于正弦函数的直觉模糊集相似度测量及其应用[J].计算机工程与科学,2018,40(1):133-138,6.
