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 …

Fuzzy set theory, rough set theory and soft set theory are all generic mathematical tools for
dealing with uncertainties. There has been some progress concerning practical applications …

In this article, we put forward the concepts of fuzzy soft β β-minimal descriptions and fuzzy
soft β β-maximal descriptions and construct four types of fuzzy soft β β-neighborhoods …

In this paper, we investigate the relationships among rough sets, soft sets and hemirings.
The concept of soft rough hemirings is introduced, which is an extended notion of a rough …

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 …

Classical rough set theory is considered as a useful mathematical tool to deal with the
uncertainty of categorical data; a major deficiency of this model is its sensitivity to noise in …

Hybrid soft sets, such as fuzzy soft sets and rough soft sets, have been extensively applied to
decision making. However in both cases, there is still a necessity of providing improvements …

Hybrid soft set model is an important topic for dealing with uncertainty. By means of soft
neighborhoods, soft complementary neighborhoods and soft adhesions, we build five new …

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) …

In this paper, a kind of novel soft set model called a Z-soft fuzzy rough set is presented by
means of three uncertain models: soft sets, rough sets and fuzzy sets, which is an important …