计算机工程与应用Issue(13)：122-125,4.DOI:10.3778/j.issn.1002-8331.1401-0398
基于多参数的直觉模糊集相似度及其应用
Similarity measure and its application based on multi-parametric intuitionistic fuzzy sets
摘要
Abstract
There is a lot of literature related to similarity measure of the intuitionistic fuzzy set, while some of the existing formulae are inefficient to handle practical problems. Famous scholars Boran and Akay who are from Turkey proposed a new biparametric formula about similarity measure, which improved the failure of some pattern recognitions in the main-stream method. Meanwhile, they introduced an isosceles right triangle area which is corresp-onding to the values of the membership degree, the non-membership degree and the hesitancy degree, and only points on the midline of the hypotenuse were taken into consideration. This paper improves the formula to make the condition generalization and gives a more generalized multi-parametric formula which proves its correctness and verifies its effectiveness in pattern recognition.关键词
直觉模糊集/多参数/相似度/模式识别Key words
intuitionistic fuzzy set/multi-parametric/similarity measure/pattern recognition分类
信息技术与安全科学引用本文复制引用
彭新东,杨勇,朱英丽..基于多参数的直觉模糊集相似度及其应用[J].计算机工程与应用,2015,(13):122-125,4.基金项目
国家自然科学基金（No.61163036）。 （）
