Learning maximal structure rules with pruning based on distances between fuzzy sets

Javier Albusac, J.J Castro-Schez, David Vallejo

The aim of this paper is to present a new fuzzy learning algorithm to generate IF-THEN rules, for classifying instances of one application domain. Really, this algorithm is a modification that improves the results offered by previously presented algorithm. In addition, the more common classification problems of the original algorithm are presented and a measure to determine the conflicts among generated rules is introduced.

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