Two modifications of the automatic rule base synthesis for fuzzy control and decision making systems

Abstract

This paper presents two modifications of the method of synthesis and optimization of rule bases (RB) of fuzzy systems (FS) for decision making and control of complex technical objects under conditions of uncertainty. To illustrate the advantages of the proposed method, the development of the RB of Mamdani type fuzzy controller (FC) for the automatic control system (ACS) of the reactor temperature of the experimental specialized pyrolysis plant (SPP) is carried out. The efficiency of the presented method of synthesis and optimization of the FS RB is investigated and its comparison with the other existing methods is carried out on the basis of this FC. Analysis of simulation results confirms the high efficiency of the proposed by the authors method of synthesis and reduction of the FS RB.