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Article type: Research Article
Authors: Zhai, Junhaia; * | Zhang, Sufangb | Zhang, Yaoc
Affiliations: [a] Key Lab. of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, Baoding, China | [b] Hebei Branch of Meteorological Cadres Training Institute, China Meteorological Administration, Baoding, China | [c] College of Computer Science and Technology, Hebei University, Baoding, China
Correspondence: [*] Corresponding author. Junhai Zhai, Key Lab. of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, Baoding 071002, China. Tel.: +86 312 5079351; Fax: +86 312 5079630; E-mail: mczjh@126.com.
Abstract: In rough fuzzy set, equivalence relation is used for approximating the target concept, which is a fuzzy set. In this paper, we extend the equivalence relation in rough fuzzy set to tolerance relation, and propose an extended model named tolerance rough fuzzy set. Furthermore, the properties of the extended model are investigated, and the proofs of the properties are given in the paper. The advantage of the extended model is that it can directly deal with continuous-valued attributes, and it does not require the process of discretization.
Keywords: Rough set, equivalence relation, rough fuzzy set, tolerance relationship, tolerance rough fuzzy set
DOI: 10.3233/IFS-152079
Journal: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 6, pp. 3311-3320, 2016
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