Designing the Fuzzy Rule Base Using LAFA

Having inaccurate and faulty knowledge and being capable of answering vague and ambiguous queries in many fields such as pattern recognition, automatic control and decision analysis, fuzzy databases are usually faced with a series of uncertainties in parameters, system structure and the environment in which the system operates. Many different designs have been proposed for databases. Among all of them, the most difficult action is to design theoptimal fuzzy rule base. Using Learning Automata Firefly Algorithm (LAFA), the research aimed to design a fuzzy rule base in a fuzzy controller of TSK type. The performance and efficiency of the proposed method were obtained through implementing it on the benchmarkand comparing the results with those of other methods (taken from different papers). They indicated a smaller number of fuzzy rules and decreased error control