Consistency in fuzzy rule based systems: An application in elementary school performance evaluation

被引：2

作者：

Ammar, S ^{[1
]}

Bifulco, R ^{[1
]}

Duncombe, W ^{[1
]}

Wright, R ^{[1
]}

机构：

[1] Lemoyne Coll, Dept Business Adm, Syracuse, NY 13214 USA

来源：

18TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS | 1999年

关键词：

D O I：

10.1109/NAFIPS.1999.781666

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Performance evaluation and reform of public organizations is receiving increased attention In many cases identification of the lowest performing organizations is an important part of performance bared reforms. Programs to identify low performance would typically benefit from incorporation of expert judgement provided that judgement could be applied in a verifiable and fair manner. Fuzzy rule based systems provide a mechanism for modeling expert judgement. However, translating that expertise into a consistent set of rules can be even more challenging for performance evaluation than it has been in engineering applications. In this paper we describe an approach that first creates a comprehensive and complete set of rules and then modifies those rules to prevent inconsistent results.

引用

页码：120 / 124

页数：5