Fuzzy Logic Toolbox™ provides functions, apps, and a Simulink® block for analyzing, designing, and simulating systems based on fuzzy logic. The product guides you through the steps of designing fuzzy inference systems. Functions are provided for many common methods, including fuzzy clustering and adaptive neurofuzzy learning.
The toolbox lets you model complex system behaviors using simple logic rules, and then implement these rules in a fuzzy inference system. You can use it as a stand-alone fuzzy inference engine. Alternatively, you can use fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system.
Discover more about Fuzzy Logic Toolbox by exploring these resources.
Explore documentation for Fuzzy Logic Toolbox functions and features, including release notes and examples.
Browse the list of available Fuzzy Logic Toolbox functions.
View a Simulink library of blocks that Fuzzy Logic Toolbox supports.
View system requirements for the latest release of Fuzzy Logic Toolbox.
View articles that demonstrate technical advantages of using Fuzzy Logic Toolbox.
Read how Fuzzy Logic Toolbox is accelerating research and development in your industry.
Find answers to questions and explore troubleshooting resources.
Fuzzy Logic Toolbox apps enable you to quickly access common tasks through an interactive interface.
Fuzzy Logic Toolbox requires: MATLAB
Use Fuzzy Logic Toolbox to solve scientific and engineering challenges: