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Article type: Research Article
Authors: Zhang, Haidonga; * | He, Yanpingb | Xiong, Lianglinc; *
Affiliations: [a] School of Mathematics and Computer Science, Northwest University for Nationalities, Lanzhou, Gansu, P.R. China | [b] School of Electrical Engineering, Northwest University for Nationalities, Lanzhou, Gansu, P.R. China | [c] School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, Yunnan, P.R. China
Correspondence: [*] Corresponding author. Haidong Zhang, School of Mathematics and Computer Science, Northwest University for Nationalities, Lanzhou, Gansu 730030, P.R. China. Tel./Fax: +86 09314512202; E-mail: [email protected] and Lianglin Xiong, School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, Yunnan 650500, P.R. China. Tel./Fax: +86087165918678; E-mail: [email protected].
Abstract: In this paper, a single-granulation dual hesitant fuzzy rough set model based on dual hesitant fuzzy tolerance relations is first introduced. By the combination of multi-granulation rough sets and the single-granulation dual hesitant fuzzy rough sets, we then develop a new multi-granulation rough set model, called a multi-granulation dual hesitant fuzzy rough set. In the multi-granulation framework, two types of multi-granulation dual hesitant fuzzy rough sets are proposed, which are named the optimistic multi-granulation dual hesitant fuzzy rough sets and pessimistic multi-granulation dual hesitant fuzzy rough sets. Finally, the relationships among the single-granulation dual hesitant fuzzy rough sets, optimistic multi-granulation dual hesitant fuzzy rough sets and pessimistic multi-granulation dual hesitant fuzzy rough sets are investigated.
Keywords: Dual hesitant fuzzy tolerance relation, Single-granulation dual hesitant fuzzy rough set, Multi-granulation dual hesitant fuzzy rough set
DOI: 10.3233/IFS-151851
Journal: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 2, pp. 623-637, 2016
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