直觉模糊数以隶属度和非隶属度所构成的有序点来表示所要研究的信息。由于犹豫度的存在,本文从几何的观点出发,将其转化为一个可能面,提出了直觉模糊面集的概念。在此基础上,定义了两个不同直觉模糊面集的相似度,研究了它的性质。最后给出了直觉模糊面集的相似度在模式识别中的应用实例,并做了相应的对比分析,结果表明本文提出的方法具有可行性和有效性。
Intuitionistic fuzzy number indicates information by an order point consisted of membership degree and non-membership degree. Because of hesitancy degree, this paper transforms the order point into a possible area from point of geometry. We put forward the concept of intuitionistic fuzzy area set, and define the similarity degree of any two different intuitionistic fuzzy face sets. The properties of intuitionistic fuzzy area set are also investigated. Finally, an example is given to the application of pattern recognition problems, and the comparison is also made to show that the approach proposed in this paper is feasible and valid.