Covering-Based Variable Precision $(\mathcal {I},\mathcal {T})$-Fuzzy Rough Sets With Applications to Multiattribute Decision-Making

At present, there is no unified method for solving multiattribute decision-making problems. In this paper, we propose two methods that benefit from some novel fuzzy rough set models. Some theoretical preliminaries pave the way. First, by means of a fuzzy logical implicator Iand a triangular norm T, four types of coverings-based variable precision (I, T)-fuzzy rough set models are proposed. They can be used to deal with misclassification and...