N-soft set introduced by Fatimah et al.[10] is the extension of soft set introduced by
Molodtsov [30]. Soft set and N-soft set are important mathematical models for binary and non …

Molodtsov's soft set theory provides a general mathematical tool for dealing with uncertainty
in decision-making. In the past few years, a large number of generalized soft set concepts …

In this paper, we motivate and introduce the concept of N-soft set as an extended soft set
model. Some useful algebraic definitions and properties are given. We cite real examples …

Soft set theory is a newly emerging tool to deal with uncertain problems and has been
studied by scholars in theory and practice. This paper proposes the concept of bijective soft …

Soft set theory was firstly introduced by Molodtsov in 1999 as a general mathematical tool for
dealing with problems that contain uncertainties. In this paper, we first give most of the …

In this paper, we give the definitions of a multi Q-fuzzy set and a multi Q-fuzzy parameterized
soft (M k QFP-soft) set and their operations, namely complement, quality, subset, union, and …

Soft set theory is provided as a general mathematical tool for dealing with uncertainties. At
present, it is very important to put forward some decision making methods based on (fuzzy) …

Molodtsov's soft set theory was originally proposed as a general mathematical tool for
dealing with uncertainty. By combining the multi-fuzzy set and soft set models, the purpose …

This article introduces a new hybrid model called fuzzy N-soft sets. It is a suitable
combination of fuzzy set theory with N-soft sets, a model that in turn extends soft sets. Our …

Rough set theory initiated by Pawlak [16] and soft set theory initiated by Molodtsov [15] are
strong mathematical tools for handling uncertain and vague information. In this study, we …