A Restriction Level Approach for the Representation and Evaluation of Fuzzy Association Rules
نویسندگان
چکیده
The goal of this paper is to present a logic model with very good properties for the representation and evaluation of fuzzy association rules. For that we are going to combine two approaches. The first one is a model for the representation and evaluation of crisp association rules. The second one is a new proposal for the representation of imprecise properties (in particular for fuzzy sets) by using restriction levels, which verifies all the crisp logic equivalences [1]. Combining both approaches we will achieve a solid model, with very good properties for the representation of fuzzy rules and a very simple framework for extending the crisp quality measures for the evaluation of fuzzy rules. Keywords— Logic model, restriction level, RL-probability, RLnumbers, fuzzy association rules.
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