Abstract: 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 ...
Abstract: In a fuzzy control system, fuzzification and defuzzification are two important procedures. In this paper, two defuzzification methods respecting the fuzzification processes are introduced ...
Developed a system that can evaluate the health of patients which consists of three phases. The first phase involves fuzzification of real values, where the patient's health data is converted into ...
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