The problem considered in this paper is the extension of an approximation space to include
a nearness relation. Approximation spaces were introduced by Zdzis? aw Pawlak during the …

The approximation space model was originally proposed by Pawlak (1982)[19]. It was
Orłowska who first observed that approximation spaces serves as a formal counterpart of …

Rough inclusion functions are mappings considered in rough set theory with which one can
measure the degree of inclusion of a set (information granule) in a set (information granule) …

Rough inclusion functions are mappings considered in the rough set theory with which one
can measure the degree of inclusion of a set in a set (and in particular, the degree of …

In this paper we keep on discussing satisfiability of conditions by objects when information
about the situation considered, including objects of some sort and concepts comprised of …

Near sets result from a generalization of rough sets, which introduced by Peters in 2006, and
later formally defined in 2007. Near set theory provides a new framework for representation …

In this article we discuss judgment of satisfiability of formulas of a knowledge representation
language as an object classification task. Our viewpoint is that of the rough set theory (RST) …

In this paper we keep on discussing satisfiability of conditions by objects when the
information about objects and the situation considered is incomplete. Our approach to …

According to Zadeh, who introduced the term 'information granule'into a fuzzy-set analysis of
complex systems [1-3], an information granule (infogranule in short) is a clump of objects of …

The aim of this article is to pave way for a rough set based calculus of approximate judgment
by socio-cognitive agents. As the major basis of judgment is matching, we examine two …