Optimized Fuzzy Inference for Sugeno-Type Systems

Abstract

The article proposes an optimized algorithm that allows the use of a fuzzy inference system with a large number of inference rules (about 10 million) in computing systems limited by RAM and CPU power. Optimization is achieved by redistributing the membership functions of input variables and the dynamic formation of inference rules, which allows fuzzy system to store only inference rules conclusions, without using a complete search of the rules in the process of fuzzy inference.