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A Genetic Fuzzy System Based On Improved Fuzzy Functions
2009
Journal of Computers
Fuzzy inference systems based on fuzzy rule bases (FRBs) have been successfully used to model real problems. Some of the limitations exhibited by these traditional fuzzy inference systems are that there is an abundance of fuzzy operations and operators that an expert should identify. In this paper we present an alternate learning and reasoning schema, which use fuzzy functions instead of if...then rule base structures. The new fuzzy function approach optimized with genetic algorithms is
doi:10.4304/jcp.4.2.135-146
fatcat:dtlzr4qvarcpnaiujixk6cdmhi