Clustering provides a common means of identifying structure in complex data, and there is
renewed interest in clustering as a tool for the analysis of large data sets in many fields …

Clustering is one of the most widely used approaches in data mining with real life
applications in virtually any domain. The huge interest in clustering has led to a possibly …

In this paper, with the aid of fuzzy soft β β-neighborhoods, we introduce fuzzy soft covering-
based multi-granulation fuzzy rough set models. We examine some of the relevant …

In this paper, we generalize three types of rough set models based on j-neighborhood space
(ie, type 1 j-neighborhood rough set, type 2 j-neighborhood rough set, and type 3 j …

For a deep study of Yang's approach of fuzzy β-covering based rough sets over two distinct
universes, we propose novel classes of fuzzy β-covering-based rough set models by …

As a generalization of equivalent class, fuzzy covering makes descriptions of the objective
world more realistic, practical and accurate in some cases. In this paper, we establish four …

Intuitionistic fuzzy information systems are generalized types of conventional fuzzy-valued
information systems. By introducing a dominance relation to intuitionistic fuzzy information …

As an essential way of knowledge representation and knowledge acquisition in uncertainty
theory, variable precision rough set (VPRS) has been widely considered by researchers …

In this article, we introduce the notion of the complementary soft neighborhood and present
three kinds of covering soft rough set (CSR) models. The basic properties of these models …

In this study, we attempt to present a three-way multi criteria decision-making (MCDM)
technique with fuzzy soft dominance degree relation based on additive consistency to …