Journal
COMPLEXITY
Volume 2020, Issue -, Pages -Publisher
WILEY-HINDAWI
DOI: 10.1155/2020/6661782
Keywords
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Funding
- Yulin University-Industry Collaboration Project [2019-75-2]
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As a generalization of Zhan's method (i.e., to increase the lower approximation and decrease the upper approximation), the present paper aims to define the family of complementary fuzzy beta-neighborhoods and thus three kinds of covering-based multigranulation (F, T)-fuzzy rough sets models are established. Their axiomatic properties are investigated. Also, six kinds of covering-based variable precision multigranulation (F, T)-fuzzy rough sets are defined and some of their properties are studied. Furthermore, the relationships among our given types are discussed. Finally, a decision-making algorithm is presented based on the proposed operations and illustrates with a numerical example to describe its performance.
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