Certain Types of Covering-Based Multigranulation (ℐ,T)‎-Fuzzy Rough Sets with Application to Decision-Making

Abstract EN

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 β-neighborhoods and thus three kinds of covering-based multigranulation (ℐ,T)-fuzzy rough sets models are established.

Their axiomatic properties are investigated.

Also, six kinds of covering-based variable precision multigranulation (ℐ,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.