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 ...

This repository contains an implementation of a Fuzzy Inference System (FIS), a framework that emulates human reasoning by mapping inputs to outputs using fuzzy logic. The system comprises four main ...