Get Started withFuzzy Logic Toolbox

Fuzzy Logic Toolbox™ provides MATLAB^®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 neuro-fuzzy learning.

工具箱可以复杂系统行为模型s 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.

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.