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 or FIS tree.
Design and tune FIS trees. (since R2023b)
Analyze the behavior of a fuzzy system, 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. (since R2023a)
- View error distributions across input ranges based on testing data. (since R2023a)
Export FIS designs to the MATLAB^® workspace.

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

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Import FIS from Workspace

In Fuzzy Logic Designer, under Import > Import Fuzzy Inference System from Workspace, click a FIS or FIS tree.

On the left side of the app toolstrip, in the File section, in the Import drop-down menu, the cursor hovers over a FIS under the Import Fuzzy Inference System from Workspace selection.

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 File.

On the left side of the app toolstrip, in the File section, the cursor hovers over the Import Fuzzy Inference System from File selection in the Import drop-down menu.

Then, in the Import Fuzzy Inference System dialog box, select a FIS or MAT 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

Programmatic Use

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`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

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R2023b: Design, tune, and analyze FIS trees

You can interactively design, tune, and analyze FIS trees using the app.

For more information, see the following examples.

R2023b: Tunable parameter selections stored with each FIS design

When tuning FIS designs in Fuzzy Logic Designer, tunable parameter selections are now stored separately for each design. Previously, the app maintained a single set of tunable parameters for each app session.

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.

Fuzzy Logic Designer

Description

Open the Fuzzy Logic Designer App