The Generation of Fuzzy Rules from Decision Trees

Abstract

This paper introduces two methods of developing fuzzy rules, using decision trees, from data with continuous valued inputs and outputs. A key problem is how to deal with continuous outputs. Here output classes are created. A crisp decision tree may then be created using a set of fuzzy output classes allowing each training example to partially belong to the… (More)

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