Bipolar soft set is formulated by two soft sets; one of them provides us the positive
information and the other provides us the negative information. The philosophy of bipolarity …

The aim of this paper is to consider the Menger selection principle in the context of soft sets
and to discuss its several features in this context. From this point of view, we first propose …

Hypersoft set theory is an extension of soft set theory and is a new mathematical tool for
dealing with fuzzy problems; however, it still suffers from the parametric tools' inadequacies …

The theory of fuzzy bipolar soft sets is an efficient extension of soft sets for depicting the
bipolarity of uncertain fuzzy soft information; however, it is limited to a single expert. The …

We aim through this paper to achieve two goals: first, we define some types of belong and
nonbelong relations between ordinary points and double‐framed soft sets. These relations …

To eliminate uncertainty, all data expressed by decision-makers must be processed
correctly. The most useful mathematical models developed for this purpose are hybrid set …

A bipolar soft set is given by helping not only a chosen set of “parameters” but also a set of
oppositely meaning parameters called “not set of parameters”. It is known that a structure of …

The classical theory of rough sets (RSs) established by Pawlak, mainly focused on the
approximation of sets characterized by a single equivalence relation (ER) over the universe …

The uncertainty in the data is an obstacle in decision-making (DM) problems. In order to
solve problems with a variety of uncertainties a number of useful mathematical approaches …

Bipolar soft set is an extended model of soft set. However, as in soft set theory, this theory
can also leave mismatched objects in the universe set for a parameter set. In this paper, our …