Fuzzy Logic is a type of artificial intelligence (AI) that's designed to handle uncertainty and imprecision. Fuzzy Logic allows for the representation of vague concepts and the handling of incomplete ...

Type-2 fuzzy logic systems have emerged as a powerful extension of traditional fuzzy logic, providing enhanced capability to model uncertainty and imprecision in complex systems. Unlike type-1 systems ...

Learn fuzzy logic systems from data without expert knowledge. This project implements a novel approach to fuzzy logic where the system automatically discovers membership functions and rules as pure ...

Abstract: This paper addresses the time-varying complex-valued quadratic programming problem by designing a fuzzy adaptive complex-valued zeroing neural network (FACZNN) with fuzzy control factors.

Abstract: Traditional methods in student performance evaluation usually depend on numerical scores ignoring and neglecting the subjectivity and complexity of learning. In order to examine student ...