Dinh Manh Tuong

Main Article Content

Abstract

In this paper we propose the method of constructing fuzzy if-then'rules  f ro m  a
set of input-output data. This method consists of two steps. We first construct fuzzy sets
covering input and output spaces by clustering. Then applying decision tree learning algor ithm
with some suitable changes we construct the fuzzy decision tree. Prom this tree we can generate
fuzzy if-then rules

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