Polish (Poland)English (United Kingdom)

Genetic fuzzy classifier with fuzzy rough sets for imprecise data

Type of Publication: In Book
Year: 2014
Authors:
Pages: 1382–1389
Series: 2014 IEEE International Conference on Fuzzy Systems
BibTex:
Abstract:
The main problem addressed in this paper is to handle adequately imprecision of input data by means of a combination of fuzzy methods with the rough set theory. We will make use of fuzzy rough sets derived as rough approximations of fuzzy antecedent sets by non-singleton fuzzy premise sets in a fuzzy classifier. Adaptation of the parameters of this system will be done by the standard genetic algorithm.

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