基于关联的模糊分类生成规则

Da-Zhong Liu, Xizhao Wang, J.W.T. Lee
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引用次数: 2

摘要

规则的自动获取是知识工程中一个非常重要的问题。本文提出了一种基于两个模糊集之间的关联分析,从数值数据中生成模糊分类规则的新方法。最后给出了实验结果,并与Yuan和Shaw的方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation based generating rules for fuzzy classification
Automated acquisition of rules is a very important issue in knowledge engineering. In this paper, a new method for generating fuzzy rules from numerical data for fuzzy classification problems based on the correlation analysis between two fuzzy sets has been proposed. Experimental results and comparison with Yuan and Shaw's method are presented as well.
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