A knowledge acquisition method for fuzzy expert systems in diagnosis problems

被引：0
|
作者：
Evsukoff, A
Gentil, S
Branco, ACS
机构：
来源：
PROCEEDINGS OF THE SIXTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS I - III | 1997年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper a method for knowledge acquisition in diagnosis problems is presented. This method results in a zero-order Sugeno rule base where the combinatorial explosion of rules is solved by a decomposition scheme. This approach allows a unified representation, where the knowledge obtained from data by a supervised learning algorithm can be directly confronted with the knowledge elicited from the experts. The supervised learning algorithm is tested upon some classification problems found in literature.
引用
收藏
页码：1411 / 1416
页数：6
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