Evolving Rules Using Genetic Fuzzy Approach - an Educational Case Study

The work presents design and development of a system to automatically evolve rules through genetic-fuzzyapproach. The work highlights the advantages of genetic and fuzzy hybridization and proposes aframework to evolve rules automatically. The objective of the framework is to reduce the developmenteffort and guide the development procedure in user friendly fashion. The architecture presents a novelapproach which integrates fuzzy logic with system design as well as back end of the framework is used toevolve the fuzzy rules using genetic algorithm approach. To experiment the working of the proposedframework, a system to measure multiple intelligence is selected. The paper describes the detailmethodology including encoding strategy of rules, suitable genetic operators and fitness function to evolvefuzzy rules for the selected system. The initial population of rules, evolved generations and output resultsare also described. The paper concludes with the scope and applications of the work to other domains.