Fuzzy Logic Toolbox

A Modeling Scenario

Suppose you want to apply fuzzy inference to a system for which you already have a collection of input/output data that you would like to use for modeling, model-following, or some similar scenario. You don't necessarily have a predetermined model structure based on characteristics of variables in your system.

There will be some modeling situations in which you can't just look at the data and discern what the membership functions should look like. Rather than choosing the parameters associated with a given membership function arbitrarily, these parameters could be chosen so as to tailor the membership functions to the input/output data in order to account for these types of variations in the data values. This is where the so-called neuro-adaptive learning techniques incorporated into anfis in the Fuzzy Logic Toolbox can help.

ANFIS and the ANFIS Editor GUI

Model Learning and Inference Through ANFIS