Extracting fuzzy sparse rules by Cartesian representation and clustering
نویسندگان
چکیده
Sparse rule base and interpolation have been proposed as possible solution to alleviate the geometric complexity problem of large fuzzy set. So far, however, there's no formal method available to extract sparse rule base. This paper combines the recently introduced Cartesian representation of membership functions and a mountain method-based clustering technique for extraction. A case study is included to demonstrate the e ectiveness of the approach.
منابع مشابه
Extracting Fuzzy Sparse Rule Base Bycartesian Representation
Sparse rule base and interpolation have been proposed as possible solution to alleviate the geometric complexity problem of large fuzzy set. So far, however, there's no formal method available to extract sparse rule base. This paper combines the recently introduced Cartesian representation of membership functions and a mountain method-based clustering technique for extraction. A case study is i...
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