Fuzzy Hybrid Techniques in Modeling

摘要

We will describe several methods to approximate the fuzzy rules tuning and generation problem. To generate the rules we will use several clustering algorithms. This approach supposes that the data lacks of structure. To tune the rules we will use two differnet techniques. One of them is based on descent gradients. The other one is based in a try to tune the rules outputs to reduce the error.