Get Started with 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.

Tutorials

• Fuzzy vs. Nonfuzzy Logic
  

  To illustrate the value of fuzzy logic, examine both linear and fuzzy approaches to a basic tipping problem.

• Build Fuzzy Systems Using Fuzzy Logic Designer
  

  Interactively construct a fuzzy inference system using the Fuzzy Logic Designer app.

• Build Fuzzy Systems at the Command Line
  

  Construct a fuzzy inference system at the MATLAB command line.

About Fuzzy Logic

• What Is Fuzzy Logic?
  

  Fuzzy logic uses linguistic variables, defined as fuzzy sets, to approximate human reasoning.

• Foundations of Fuzzy Logic
  

  A fuzzy logic system is a collection of fuzzy if-then rules that perform logical operations on fuzzy sets.

• Mamdani and Sugeno Fuzzy Inference Systems
  

  You can implement either Mamdani or Sugeno fuzzy inference systems using Fuzzy Logic Toolbox software.

• Fuzzy Inference Process
  

  Fuzzy inference maps an input space to an output space using a series of fuzzy if-then rules.

• Defuzzification Methods
  

  Compare the defuzzification methods supported by Fuzzy Logic Toolbox software.