Interval Type-2 A-Intuitionistic Fuzzy Logic for Regression Problems

This paper presents an approach to prediction based on a new interval type-2 Atanassov-intuitionistic fuzzy logic system (IT2AIFLS) of the Takagi-Sugeno-Kang fuzzy inference with neural network learning capability. The gradient descent algorithm is used to adapt the parameters of the IT2AIFLS. The empirical comparison is made on the designed system using some benchmark regression problems-both artificial and real-world datasets. Analyses of our...