The Algorithm for Rule-base Refinement on Fuzzy Set

被引：0

作者：

李锋 ^{[1
]}

吴翠红 ^{[2
]}

丁祥武 ^{[1
]}

机构：

[1] College of Computer Science and Technology, Donghua University, Shanghai 201620

[2] College of Computer, Shanghai Second Polytechnic University, Shanghai 201209

来源：

Journal of Donghua University(English Edition) | 2006年 / 03期

关键词：

knowledge base verification; fuzzy; redundant rule; least rule base;

D O I：

10.19884/j.1672-5220.2006.03.012

中图分类号：

O159 [模糊数学];

学科分类号：

070104 ;

摘要：

In the course of running an artificial intelligent system many redundant rules are often produced. To refine the knowledge base, viz. to remove the redundant rules, can accelerate the reasoning and shrink the rule base. The purpose of the paper is to present the thinking on the topic and design the algorithm to remove the redundant rules from the rule base. The “abstraction” of “state variable”, redundant rules and the least rule base are discussed in the paper. The algorithm on refining knowledge base is also presented.

引用

页码：52 / 54

页数：3

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