Algorithms of the Tradeoff between Accuracy and Complexity in the Design of Fuzzy Approximators
I. A. Hodashinsky, I. V. Gorbunov
Tomsk State University of Control Systems and Radioelectronics, pr. Lenina 40, Tomsk, 634050 Russia
Keywords: fuzzy approximator, structure generation, parameter optimization, metaheuristics
Abstract
Two important stages in design of fuzzy approximators, including structure generation and parameter optimization, are considered. Two optimization criteria, i.e., the accuracy measured by the root-mean-square error and the complexity expressed as the number of fuzzy rules, are proposed. The results of studies of the approximators obtained on real data from the KEEL repository are given, and the results are compared with their analogs.
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