Towards More Efficient Type-2 Fuzzy Logic Systems

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Abstract
This work introduces representations and methods that improve the inferencing speeds of type-2 fuzzy logic systems by exploiting methods from computational geometry. A new representation of a secondary membership function is given along with its operations. We give the results from some initial experiments looking at the inferencing speed of a small, limited system. The results show a four and a half fold increase in the inferencing speed of our methods over a comparable standard system. Our motivation is that by improving the performance of type-2 systems such technologies may become more widely applied

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