Rule Extraction Based on Interval-Valued Rough Fuzzy Sets

Hua Ni Qin; Da Rong Luo

doi:10.4028/www.scientific.net/AMM.665.668

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 665Rule Extraction Based on Interval-Valued Rough...

Rule Extraction Based on Interval-Valued Rough Fuzzy Sets

Abstract:

A model of interval-valued rough fuzzy set combining interval-valued fuzzy set and rough set is investigated in this paper. Firstly, considering the deficiency of general sorting method between any interval-valued fuzzy numbers, an improved sorting method and a pair of new approximation operators about minimum and maximum are presented. Based on the improved operators, a model of interval-valued rough fuzzy set is established. At last, by using the modified model of interval-valued rough fuzzy set, a method of knowledge discovery in interval-valued fuzzy information systems is investigated.

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Periodical:

Applied Mechanics and Materials (Volume 665)

Pages:

668-673

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.665.668

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Online since:

October 2014

Authors:

Hua Ni Qin*, Da Rong Luo

Keywords:

Interval-valued Fuzzy Sets, Rough Set (RS), Rule Extraction

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