Type-2 Fuzzy Logic Toolbox

The Type-2 Fuzzy Logic Toolbox, developed by Turkish Professor Muzeyyen Bulut Ozek, provides comprehensive MATLAB-based functions for Simulink simulations. This toolbox implements advanced Type-2 fuzzy logic algorithms including interval type-2 fuzzy sets, fuzzy reasoning mechanisms, and defuzzification methods through specialized functions like 't2fis_create' for system initialization and 't2fis_eval' for inference operations. It enables users to construct more accurate fuzzy logic systems with enhanced uncertainty handling capabilities and perform complex simulation experiments. The toolbox supports parameter tuning algorithms and membership function optimization through integrated GUI interfaces and command-line APIs. As a significant tool in the fuzzy logic domain, it offers researchers and engineers powerful computational methods to solve complex problems with improved simulation accuracy and reliability. Whether for academic research or industrial applications, the Type-2 Fuzzy Logic Toolbox serves as an essential resource that significantly enhances workflow efficiency and result quality through its systematic implementation of type-2 fuzzy logic operations.