Information entropy and its extended forms have been widely used in various rough sets to
evaluate the uncertainty of a fuzzy relation or a fuzzy granularity. However, they are difficult …

Fuzzy and intuitionistic fuzzy β covering has attracted the interest of many researchers
recently. However, some of the factors namely 1. the lack of inclusion relationship between …

A common approach to constructing fuzzy rough sets (FRSs) is using t-norms. Furthermore,
establishing multi-granulation fuzzy rough sets (MGFRSs) is also usually undertaken 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 …

With the increasing diversification and complexity of information and data, it is crucial to
monitor and process data and information from multiple perspectives. There is a general …

Rough sets offer an efficient mathematical framework to formalize the process of data
analysis and knowledge discovery in the presence of incomplete or uncertain information …

Conflict analysis is one of the most critical application domains whose importance is
increasing rapidly nowadays. Attributes involving conflicts frequently occur with opinion …

Optimal scale selection is studied widely at present to obtain scale rules in multi-scale
decision tables. However, one limitation of this method is that it cannot directly extract scale …

Protein structure prediction is one of the important aspects while dealing with critical
diseases. An early prediction of protein folding helps in clinical diagnosis. In recent years …

In this paper, a concept generalized three-way concept lattices with respect to double formal
contexts is introduced to support the idea of three-way decisions. The generalized three-way …