Fuzzy Logic Designer

Design, test, and tune fuzzy inference systems

Description

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

Using this app, you can:

• Design Mamdani and Sugeno FISs.

• Design type-1 and type-2 FISs.

• Tune the rules and membership functions of a FIS.

• Add or remove input and output variables.

• Specify input and output membership functions.

• Define fuzzy if-then rules.

• Select fuzzy inference functions for:

  • And operations

  • Or operations

  • Implication

  • Aggregation

  • Defuzzification

• Analyze the behavior of a FIS, including:

  • View rule inference process for given input values.

  • View output surface maps for fuzzy inference systems.

  • Compare FIS outputs with corresponding output values from testing data.

  • View error distributions across input ranges based on testing data.

• Export FIS designs to the MATLAB^® workspace.

More

Limitations

The Fuzzy Logic Designer app does not support the following tasks.

• FIS tree creation — Instead, create FIS trees at the MATLAB command line using fistree objects. You can create the component FIS objects using Fuzzy Logic Designer and export them to the MATLAB workspace.

• FIS tree tuning — Instead, tune FIS trees at the MATLAB command line using the tunefis function. You can tune the component FIS objects using Fuzzy Logic Designer and export them to the MATLAB workspace.

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Open the Fuzzy Logic Designer App

• MATLAB Toolstrip: On the Apps tab, under Control System Design and Analysis, click the app icon.

• MATLAB command prompt: Enter fuzzyLogicDesigner.

Examples

Import FIS from Workspace

In Fuzzy Logic Designer, under Import > Import Fuzzy Inference System from Workspace, click the fuzzy inference system.

A new Fuzzy Logic Designer instance opens and loads the selected FIS.

Import FIS from File

In Fuzzy Logic Designer, select Import > Import Fuzzy Inference System from Workspace.

Then, in the Import Fuzzy Inference System dialog box, select a FIS file and click Open.

Convert FIS

Using Fuzzy Logic Designer, you can convert between Mamdani and Sugeno systems and between type-1 and type-2 systems.

When you convert a FIS, the app adds the converted FIS to the Design Browser. To make the converted system active, select it in the Design Browser and click Set Active Design.

For more information on converting between type-1 and type2 systems, see convertToType1 and convertToType2.

For more information on converting between Mamdani and Sugeno systems, see Mamdani and Sugeno Fuzzy Inference Systems.

Related Examples

• Get Started Using Fuzzy Logic Designer
• Build Fuzzy Systems Using Fuzzy Logic Designer
• Define Fuzzy Rules Using Fuzzy Logic Designer
• Define Membership Functions Using Fuzzy Logic Designer
• Analyze Fuzzy System Using Fuzzy Logic Designer
• Tune Fuzzy Inference System Using Fuzzy Logic Designer
• Train Adaptive Neuro-Fuzzy Inference Systems
• Configure Tuning Options in Fuzzy Logic Designer
• Select Rules and Parameters to Tune in Fuzzy Logic Designer
• Export FIS and Simulation Data from Fuzzy Logic Designer

Programmatic Use

fuzzyLogicDesigner

fuzzyLogicDesigner opens the Fuzzy Logic Designer app and loads the Getting Started dialog box where you can open an existing FIS or create an initial FIS structure. For more information, see Get Started Using Fuzzy Logic Designer.

fuzzyLogicDesigner(fis)

fuzzyLogicDesigner(fis) opens the app and loads the fuzzy inference system fis. fis can be any mamfis, sugfis, mamfistype2, or sugfistype2 object in the MATLAB workspace.

fuzzyLogicDesigner(fileName)

fuzzyLogicDesigner(fileName) opens the app and loads a fuzzy inference system from a file. fileName is the name of a FIS (*.fis) file on the MATLAB path.

To save a fuzzy inference system to a FIS file:

• In Fuzzy Logic Designer, under Save, select the fuzzy inference system.

• At the command line, use writeFIS.

Version History

Introduced in R2014b

R2023a: Tune Rules and Membership Functions

You can interactively tune the rules and membership function parameters of the following types of fuzzy inference systems.

• Mamdani and Sugeno systems

• Type-1 and type-2 systems

For an example, see Tune Fuzzy Inference System Using Fuzzy Logic Designer.

R2023a: Interactively evaluate performance of FIS using testing data

You can interactively evaluate the performance of fuzzy inference system designs for given input/output testing data using the following documents in the app.

• System Validation — Compare the outputs from each FIS design with the corresponding output value from the testing data.

• Error Distribution — For a given FIS design, view the output error for different combinations of inputs.

For more information on analyzing FIS designs, see Analyze Fuzzy System Using Fuzzy Logic Designer..

R2023a: Automatically distribute membership functions across variable range

When defining membership functions for input and output variables, you can evenly distribute existing membership function across the variable range. For more information on defining membership functions, see Define Membership Functions Using Fuzzy Logic Designer.

R2022b: Redesigned Fuzzy Logic Designer App

The redesigned app streamlines workflows for interactively building fuzzy inference systems. Using the updated app, you can:

• Design both Mamdani and Sugeno fuzzy inference systems

• Design fuzzy inference systems with either type-1 or type-2 membership functions

R2019b: Support for fuzzy inference system structures will be removed

Support for representing fuzzy inference systems as structures will be removed in a future release. Use mamfis and sugfis objects with this function instead. To convert existing fuzzy inference system structures to objects, use the convertfis function.

This change was announced in R2018b. Using fuzzy inference system structures with this app issues a warning starting in R2019b.

R2014b: Command to open app renamed to fuzzyLogicDesigner

Previously, the command to open the app was fuzzy.