模糊集间的语义关联度及其应用

本文提出了一种描述模糊集间近似程度的语义关联度概念,它不仅与模糊集论域元素的隶属度有关,而且考虑了论域元素间的语义近似程度,因此它比过去模糊数学中定义的各种距离和贴近度等概念更加精细地刻划了模糊集间的相似性,从而在人工智能和其它领域中可有广泛应用,文中列举了它在情报检索和正文分类等方面的应用实例。此外,论文还给了两种近似地计算语义关联度的算法。

SEMANTIC RELATIONSHIP BETWEEN FUZZY SETS AND ITS APPLICATIONS

A concept of semantic relationship between fuzzy sets is presented in the paper. The concept is not only related to the membership of the fuzzy sets, but also considered releant to the similarity between elements in the domains of the fuzzy sets. So,it can be used to characterize the similarity between fuzzy sets more meticulously than it was done by the various "distance" or "nearness" previously defined in fuzzy mathematics.There fore, it would have a wide range of applications in AI and other areas, such as information retrieval and text classification. Besides, two algorithms to approximately calculate the semantic relationship are given in the paper.