The management of uncertainty in decision-making problems remains a very challenging
and timely research issue despite many proposals. An interesting topic in this area in recent …

Rough set theory is an efficient tool for dealing with inexact and uncertain information.
Numerous studies have focused on rough set theory and associated methodologies, and in …

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 …

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 …

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 …

Neighborhood rough sets are widely used as an effective tool to deal with numerical data.
However, most of the existing neighborhood granulation models cannot well describe the …

The original Pawlak's rough set approach based on indiscernibility relation (single
granularity) has been extended to multigranulation rough set structure in the recent years …

Three-way decisions provide a trisecting-and-acting framework for complex problem solving.
For a cost-sensitive decision-making problem under multiple levels of granularity, sequential …

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 …

The principle of the minority subordinate to the majority is the most feasible and credible
when people make decisions in real world. So generalized multigranulation rough set theory …