This paper gives basic ideas of rough set theory a new approach to data analysis. The lower
and upper approximation of a set, the basic operations of the theory, are intuitively explained …

Rough Set Theory, proposed in 1982 by Zdzislaw Pawlak, is in a state of constant
development. Its methodology is concerned with the classification and analysis of imprecise …

Rough set data analysis is one of the main application techniques arising from rough set
theory. In this paper we introduce a concept of inclusion degree into rough set theory and …

Since introduction of the theory of rough set in early eighties, considerable work has been
done on the development and application of this new theory. The paper provides a review of …

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This paper summarizes various formulations of the standard rough set theory. It
demonstrates how those formulations can be adopted to develop different generalized …

The standard rough set theory has been introduced in 1982 [5]. In this paper we use a
topological concepts to investigate a new definitions for the lower and upper approximation …

The aim of this paper is to give rudiments of rough set theory and present some recent
research directions proposed by the author. Rough set theory is a new mathematical …

The approach to rough set theory proposed in this paper is based on the mutual
correspondence of the concepts of extension and intension. It is different from the well …

Intelligent decision support is based on human knowledge related to a specific part of a real
or abstract world. When the knowledge is gained by experience, it is induced from empirical …