摘要
由汪培庄提出的贴近度是Fuzzy理论应用中的重要慨念之一,它在Fuzzy聚类和识别中扮演着极为重要的角色,贴近度选择的合适与否是聚类或识别成败的关键,因此人们不断地对其进行研究,并设法给出更多的贴近度以供应用中选择,但目前已知的贴近度的类型还满足不了需要。本文探讨了规范函数,Fuzzy距离和贴近度之间的关系,并给出了构造它们的方法,以便有目的的构造所需的贴近度。
The Similarity degree of fuzzy set, which was first given by Wang Peizhuang, is an important concept in fuzzy theory. Since it plays an important role in fuzzy clustering and classification, it is unceasingly studied, and many people try to give various kinds of similarity degree. But at present there are only a few kinds of sinilarity degree available, which is unable to meet application requirement. In thi spaper we discuss the relations among the Evaluator, the distance and the similarity degree, and give the methods to construct them. Therefore it is possible to obtain various kinds of similarity degree according to requirements.
