The relations on agents and issues are essential topics in three-way conflict analysis. While
there is a general agreement on the formulation and understanding of relations regarding …

Subsethood measures, also known as set-inclusion measures, inclusion degrees, rough
inclusions, and rough-inclusion functions, are generalizations of the set-inclusion relation for …

Set-valued data are a common type of data for characterizing uncertain and missing
information. Traditional dominance-based rough sets can not efficiently deal with large-scale …

This paper explores the properties of subsethood measures, including boundary conditions,
monotonicity, duality, and additivity. These properties can be used as candidates of axioms …

In 1982, Pawlak proposed a theory of rough sets for data analysis. A fundamental concept of
rough sets is the approximation of a set by a pair of lower and upper approximations or three …

In this article we present three inclusion functions which characterise the nearness relation
between finite sets of objects defined in line with JF Peters, A. Skowron, and J. Stepaniuk …

Uncertainty and imprecision are intrinsic features of available data about the real world. An
object is uncertain if we cannot make sure decisions about if the object belongs to a target …

Data analytics is a process to discover useful information in data, draw valuable
conclusions, and help users make wise decisions. In most occasions, the conclusions can …