This article introduces the notion of bipolar complex fuzzy soft set as a generalization of
bipolar complex fuzzy set and soft set. Furthermore, this article contains elementary …

Soft set theory, initially introduced through the seminal article “Soft set theory—First results”
in 1999, has gained considerable attention in the field of mathematical modeling and …

In this paper, we contribute to a recent and successful modelization of uncertainty, which the
practitioner often encounters in the formulation of multicriteria group decision making …

Association rules, one of the most useful constructs in data mining, can be exerted to capture
interesting dependencies between variables in large datasets. Herawan and Deris initiated …

As is well known, soft set theory can have a bearing on making decisions in many fields.
Particularly important is parameter reduction of soft sets, an essential topic both for …

Many real world decision making problems often involve uncertainty data, which mainly
originating from incomplete data and imprecise decision. The soft set theory as a …

The existing approaches for fuzzy soft sets decision-making are mainly based on different
types of level soft sets. How to deal with such kinds of fuzzy soft sets decision-making …

In recent years the artificial intelligence has been developed rapidly since it can be applied
easily to several areas like medical diagnosis, engineering and economics, among others …

Theories of soft sets and rough sets are two different approaches to vagueness. A possible
fusion of rough sets and soft sets is proposed by F. Feng et al. They introduce the concept of …

Soft set theory is a newly emerging mathematical tool to deal with uncertain problems. Since
the trapezoidal fuzzy number, as a vital concept of fuzzy set, can express linguistic …