Intuitionistic Fuzzy Logic (IFL) Toolbox

Module 1: Intuitionistic Fuzzification function. Membership and Non-membership function Gallery.

The Intuitionistic Fuzzy Logic Toolbox is a comprehensive collection of functions and tools designed to facilitate the implementation and analysis of intuitionistic fuzzy logic systems in MATLAB. Intuitionistic fuzzy logic extends classical fuzzy logic by introducing additional parameters like non-membership and indeterminacy functions to model uncertainty and hesitancy more effectively. This toolbox includes functions for defining intuitionistic fuzzy sets, performing operations on intuitionistic fuzzy numbers, and implementing intuitionistic fuzzy inference systems. It provides a user-friendly interface for creating, manipulating, and visualizing intuitionistic fuzzy sets and rules, making it a valuable resource for researchers, educators, and practitioners interested in exploring the capabilities of intuitionistic fuzzy logic.

This toolbox currently starts by providing Module 1: Intuitionistic fuzzification functions (membership and non-membership functions) that define the process of intuitionistic fuzzification, the first step of an Intuitionistic Fuzzy Logic Controller. There are eight standard intuitionistic fuzzification functions defined so far. It is proposed to contribute other important tools/modules on

• Module 2: Defuzzification functions
• Module 3: Contrast intensification of images
• Module 4: Dilation and concentration of images
• Module 5: RGB image representation
• Module 6: Video processing
• Module 7: Shortest path in networks.