Covering-based generalized variable precision fuzzy rough set

Article type: Research Article

Authors: Du, Ye | Yao, Bingxue^{; *}

Affiliations: School of Mathematical Sciences, Liaocheng University, Liaocheng, P.R. China

Correspondence: [*] Corresponding author. Bingxue Yao, School of Mathematical Sciences, Liaocheng University, Liaocheng 252059, P.R. China. E-mail: yaobingxue@163.com.

Abstract: Zhan and Jiang defined covering-based compact and loose variable precision fuzzy rough set models. Soon after, they proposed a reflexive fuzzy β-neighborhood operator and defined a covering-based generalized variable precision fuzzy rough set. Based on them, in this paper, we use the reflexive fuzzy β-neighborhood operator to establish two covering-based generalized variable precision fuzzy rough set models, which are called covering-based generalized compact and loose variable precision fuzzy rough set models, respectively. Then, we investigate the important properties of the two rough set models and their relationship to the original models. Finally, we apply the covering-based generalized compact variable precision fuzzy rough set model to decision-making problems. A simple example is given to verify the validity of the model and compare the results with other models.

Keywords: Fuzzy rough set , compact, loose, fuzzy logical operator

DOI: 10.3233/JIFS-220152

Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 5, pp. 6175-6187, 2022