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One of the most important issues in fuzzy decision tree learning is the fuzzification of input data. This paper proposes a self-adaptive data fuzzification algorithm based on the self-organizing map (SOM) technology, which can automatically determine the number and coordinates of centers in triangular membership functions. Then the membership degree of each sample to all fuzzy subsets can be calculated...
In this paper, an approach of learning the values of the weights in weighted fuzzy if-then rules is presented. Based on the concept of T-S norms, firstly, this paper presents the T-S norm-based fuzzy reasoning algorithm; secondly, we map a set of initial fuzzy if-then rules, in which all the weights are equal to 1.0, and the T-S norm-based fuzzy reasoning methodology into a forward fuzzy neural network,...
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