Fuzzy Logic Toolbox
Fuzzy Logic Toolbox™ provides MATLAB® functions, apps, and a Simulink® block for analyzing, designing, and simulating fuzzy logic systems. The product lets you specify and configure inputs, outputs, membership functions, and rules of type-1 and type-2 fuzzy inference systems.
The toolbox lets you automatically tune membership functions and rules of a fuzzy inference system from data. You can evaluate the designed fuzzy logic systems in MATLAB and Simulink. Additionally, you can use the fuzzy inference system as a support system to explain artificial intelligence (AI)-based black-box models. You can generate standalone executables or C/C++ code and IEC 61131-3 Structured Text to evaluate and implement fuzzy logic systems.
Get Started
Learn the basics of Fuzzy Logic Toolbox
Fuzzy Inference System Modeling
Build fuzzy inference systems and fuzzy trees
Fuzzy Inference System Tuning
Tune membership functions and rules of fuzzy systems
Data Clustering
Find clusters in input/output data using fuzzy c-means or subtractive clustering
Fuzzy Logic in Simulink
Simulate systems in Simulink
Deployment
Generate code for evaluating fuzzy systems