Decision-theoretic rough sets (DTRSs) as a classic model of three-way decisions have been
widely applied in the field of risk decision-making. Considering situations where experts …

Decision-theoretic rough sets (DTRSs) capture the decision semantics and can deduce
three-way decisions with respect to the minimum expected risk. Considering the new …

Decision-theoretic rough sets (DTRSs) as a classic model of three-way decisions have been
widely applied in the area of risk decision-making. When we confront the complicated and …

Decision-theoretic rough sets (DTRSs) play a crucial role in risk decision-making problems.
With respect to the minimum expected risk, DTRSs deduce the rules of three-way decisions …

In this paper, we propose a general framework for the study of dual hesitant fuzzy rough sets
integrating rough set theory with dual hesitant fuzzy set theory in which both constructive …

In this paper, we propose a general decision-making framework based on the HF rough set
model over two universes. By a constructive approach, the HF rough set model over two …

In this study, the fusion of probabilistic hesitant fuzzy sets (PHFSs) and rough sets is
explored and applied to uncertain multi-criteria decision-making (MCDM). First, to reduce …

Person-job fit is a significant issue in the variety of critical business intelligence applications
that aims to match suitable professional abilities with job demands for each job seeker, and …

The objective of this manuscript is to present the notion of probabilistic hesitant fuzzy rough
(PHFR) set and their basic operations. As a generalization of the sets, PHFR set is a more …

Hesitant fuzzy set is a generalization of the classical fuzzy set by returning a family of the
membership degrees for each object in the universe. Since how to use the rough set model …