关键词: 直觉模糊集, 多参数, 相似度, 模式识别

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 mainstream 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.

Key words: intuitionistic fuzzy set, multi-parametric, similarity measure, pattern recognition