Fuzzy Logic Toolbox
The Fuzzy Logic Toolbox lets you apply neurofuzzy and clustering techniques to model and classify system behavior.
Using the Neuro-Fuzzy Design app, you can shape membership functions by training them with input/output data rather than specifying them manually. The toolbox uses a back propagation algorithm alone or in combination with a least squares method, enabling your fuzzy systems to learn from the data.
The Fuzzy Logic Toolbox provides support for fuzzy C-means and subtractive clustering, modeling techniques for data classification and modeling.