Test- and Rating Strategies for Data Based Rule Generation
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Date
1998-11-08
Authors
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Publisher
Universität Dortmund
Abstract
The paper presents new strategies for testing and rating the relevance of rules in the Fuzzy-ROSA (Rule Oriented Statistic Analysis) method for data based rule generation. Specifc characteristics and differences between the proposed strategies are pointed out.
Description
Table of contents
Keywords
data based modeling, Fuzzy-ROSA method, Fuzzy systems, relevance test and rating, rule based modeling