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Article type: Research Article
Authors: Liu, Caihuia; b; * | Pedrycz, Witoldb; c
Affiliations: [a] Department of Mathematics and Computer Science, Gannan Normal University, Ganzhou, Jiangxi, China | [b] Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada | [c] System Research Institute, Polish Academy of Sciences, Warsaw, Poland
Correspondence: [*] Corresponding author. Caihui Liu, E-mail: [email protected].
Abstract: As a new and meaningful extension of the Pawlak rough set, multi-granulation rough sets (MGRSs) have attracted much attention and fruitful achievements have been reported in different aspects. By combining with fuzzy rough set, the paper introduces multi-granulation fuzzy rough sets in the covering approximation space, namely, covering-based multi-granulation fuzzy rough sets (CMFRS), which form the extension of fuzzy rough sets. We first investigate several important properties of lower and upper approximations of concepts in covering-based multi-granulation fuzzy rough sets and elaborate on the differences between the proposed models and the existing ones in literature. By employing the notions of reduct and exclusion of a covering, the paper studies the necessary and sufficient conditions for two CMFRS to generate identical lower and upper approximations of a target concept in the given covering approximation space. Finally, the relationships between the new models are explored in the paper.
Keywords: Covering, exclusion, fuzzy rough sets, multi-granulation, reduct
DOI: 10.3233/IFS-151757
Journal: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 303-318, 2016
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