Fuzzy Classification with an Artificial Chemical Process
نویسنده
چکیده
Given its practical importance in industrial applications, automatic generation of inference systems is an important area of research. LFC is a new algorithm developed to generate a compact set of fuzzy classification rules from data. The premise is extracted directly using a global optimization procedure based on a new recently introduced paradigm called artificial chemical process. The conclusion part is determined using soft computing techniques. LFC presents a good balance between input-output mapping precision and linguistic interpretation.
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