A Pawlak approximation space is a pair of a ground set/space and a quotient set/space,
where the latter is induced by an equivalence relation on the former. With this two-space …

The Pythagorean fuzzy rough set (PyFRS) is a robust framework that plays a vital role in
reducing the uncertainty from the extracted information from real-life scenarios. In this article …

The fusion of information is a very hectic process whenever we analyze the information.
Several frameworks have been introduced to reduce the uncertainty while fusing the …

Fuzzy rough set theory can be used as a tool for dealing with inconsistent data when there is
a gradual notion of indiscernibility between objects. It does this by providing lower and …

Attribute reduction (AR) plays an important role in reducing irrelevant and redundant domain
attributes, while maintaining the underlying semantics of retained ones. Based on Earth …

Abstract Energy Supplier Selection is vital for sustainable energy management. Optimal
supplier choices reduce environmental impact and promote resource efficiency per green …

Collecting sufficient labeled data is time-consuming and even infeasible in streaming data
applications. Unsupervised domain adaptation is a reasonable solution that has recently …

Classical (fuzzy) rough sets exhibit sensitivity to noise, which is particularly undesirable for
machine learning applications. One approach to solve this issue is by making use of fuzzy …

Aiming at the situation that fuzzy condition attribute values in multi-scale decision table have
dominance relations and the decision attribute values are fuzzy, we establish dominance …

The intuitionistic fuzzy rough set (IFRS) is a robust framework that plays a vital role in
reducing the uncertainty from the extracted information from real-life scenarios. In this article …