Test- and Rating Strategies for Data Based Rule Generation
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Universität Dortmund
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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.
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data based modeling, Fuzzy-ROSA method, Fuzzy systems, relevance test and rating, rule based modeling
