get started with fuzzy logic toolbox -凯发k8网页登录

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

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  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.

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  construct a fuzzy inference system at the matlab command line.

about fuzzy logic

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

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

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  you can implement either mamdani or sugeno fuzzy inference systems using fuzzy logic toolbox software.

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

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  compare the defuzzification methods supported by fuzzy logic toolbox software.