Fuzzy Modeling Based on Rough Sets and Mind Evolutionary Algorithm

摘要

This paper combines rough sets and mind evolutionary algorithm for the first time, and uses the mind evolutionary algorithm to. search the reasonable split points. Considering the whole condition attributes values, this paper proposes a global discrete approach to avoid getting unreasonable discrete split points that appeared in discretizing each continuous attribute independently. By using the method in this paper, the fuzzy model of cement stove is established. The experiment shows that this method is simple and rapid and can elide the complex handwork reduction.