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  1. Fuzzy Logic Toolbox - MATLAB - MathWorks

    2 days ago · Fuzzy Logic Toolbox provides MATLAB functions, apps, and a Simulink block for analyzing, designing, and simulating systems based on fuzzy logic.

  2. What Is Fuzzy Logic? - MATLAB & Simulink - MathWorks

    Simulate your fuzzy system within a Simulink ® model using the Fuzzy Logic Controller block. Automatically generate code for evaluating fuzzy inference systems.

  3. Fuzzy Logic Toolbox Documentation - MathWorks

    Fuzzy Logic Toolbox provides MATLAB functions, apps, and a Simulink block for analyzing, designing, and simulating fuzzy logic systems.

  4. Get Started with Fuzzy Logic Toolbox - MathWorks

    Fuzzy Logic Toolbox provides MATLAB functions, apps, and a Simulink block for analyzing, designing, and simulating fuzzy logic systems.

  5. Build Fuzzy Systems Using Fuzzy Logic Designer - MATLAB

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

  6. Fuzzy Logic Designer - Design, test, and tune fuzzy inference …

    The Fuzzy Logic Designer app lets you design, test, and tune a fuzzy inference system (FIS) for modeling complex system behavior.

  7. Generate MATLAB Code for Simulating Fuzzy Systems - MathWorks

    After you interactively build or tune a fuzzy system using Fuzzy Logic Designer, you can generate MATLAB ® code to programmatically simulate that system. You can then use or modify the …

  8. Fuzzy Inference System Modeling - MATLAB & Simulink

    Generate MATLAB Code for Simulating Fuzzy Systems Once you interactively build a fuzzy system using Fuzzy Logic Designer, you can generate MATLAB code to programmatically …

  9. Foundations of Fuzzy Logic - MATLAB & Simulink - MathWorks

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

  10. Fuzzy Inference Process - MATLAB & Simulink - MathWorks

    This section describes the fuzzy inference process and uses the example of the two-input, one-output, three-rule tipping problem from Fuzzy vs. Nonfuzzy Logic.