Impact analysis of Jensen and Sk pal fuzzification in classification

Authors:
Rama Devi Yellasiri;P. Venu Gopal;P. S. V. S. Sai Prasad
Affiliations:
CBIT, Gandipet, Hyderabad, India;CBIT, Gandipet, Hyderabad, India;University of Hyderabad, Hyderabad, India
Venue:
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Year:
2010

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Abstract

In this paper, we compare fuzzy-rough and Ant fuzzy-rough feature selection algorithms with respect to reduct and corresponding classification accuracy. It is known that, prior to applying these fuzzy rough feature selection algorithms; fuzzification of the dataset has to be done. For which, we have adopted Jensen's fuzzification method (used by him for his work) and Sk pal fuzzification method to fuzzify the data. The comparison is done specifically with respect to these fuzzification methods on benchmark datasets. In addition, it shows that Sk pal's fuzzification gives better results than Jensen fuzzification method.