计算机工程与应用Issue(9)：140-143,155,5.DOI:10.3778/j.issn.1002-8331.1111-0263
基于新的区间直觉模糊集相似性测度的模式识别
Method of pattern recognition based on new similarity measure of interval-valued intu- itionistic fuzzy set
摘要
Abstract
There are few researches related to similarity measure of the interval-valued intuitionistic fuzzy set, and these exist-ing methods are inefficient to handle practical problems. To solve this problem, this paper proposes a new method in terms of similarity measure of the interval-valued intuitionistic fuzzy set, involving the degree of membership, the degree of non-membership and the degree of hesitation, as well as the third one’s effect on the anterior both. The developed method expresses the similarity measures of the degree of membership, the degree of non-membership and the degree of hesitation in the form of triple. This paper introduces a new approach of similarity measure handling the triple with the idea of TOPSIS and proves its feasibleness. An illustrative example about pattern recognition is given to verify the efficiency of the developed approach.关键词
区间值直觉模糊集/隶属度/非隶属度/犹豫度/相似性测度/模式识别Key words
interval-valued intuitionistic fuzzy set/degree of membership/degree of non-membership/degree of hesitation/similarity measure/pattern recognition分类
信息技术与安全科学引用本文复制引用
楚俊峰,王应明..基于新的区间直觉模糊集相似性测度的模式识别[J].计算机工程与应用,2013,(9):140-143,155,5.基金项目
国家自然科学基金(No.70925004) （No.70925004）
