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Interpolative Reasoning Approach to Sparse General Type-2 Fuzzy Rules Based on the Reduced Grid Representation

Thứ ba - 14/03/2017 10:18
Interpolative reasoning is one of the most interested problems with various approaches for type-1 fuzzy sets, interval type-2 fuzzy sets, recently. However, the related methods have not mentioned general type-2 fuzzy sets yet because of their computational complexity. The paper deals with an approach to representation theorem of general type-2 fuzzy sets using the reduced grid. A computational schema for interpolative reasoning of sparse general type-2 fuzzy rules is also introduced. This schema is not depended on the shape of membership functions. Beside, the parallelizing schema for GPU platform is proposed to speed-up the algorithms. The proposed methods are implemented on both of GPU and CPU platforms with various membership functions.
Interpolative Reasoning Approach to Sparse General Type-2 Fuzzy Rules Based on the Reduced Grid Representation
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