A Restriction Level Approach for the Representation and Evaluation of Fuzzy Association Rules

作者: Daniel Sánchez , M. Dolores Ruiz , Miguel Delgado

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摘要: The goal of this paper is to present a logic model with very good properties for the representation and evaluation fuzzy association rules. For that we are going combine two approaches. first one crisp second new proposal repre- sentation imprecise (in particular sets) by us- ing restriction levels, which verifies all equivalences (1). Combining both approaches will achieve solid model, rules simple framework extending quality measures used assessing validity rule represented model. algorithm uses items means bitsets (11) reduces de time consuming when com- puting conjunction between their associated sup- port (bitset cardinality). rest follows approach rep- resenting levels presented in Then do brief summary pro- posed (7) was widely developed (6). last part pa- per contains our eval- uation using combination previous sections. We finish conclusions possible lines future research.

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