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2008•Journal of Huaiyin Institute of TechnologyRequires access

An Extension of Rough Set Model in Incomplete Information System

Yu Dong

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Abstract

In this paper,the incomplete information system in which lost and absent unknown values are coexisting is deeply investigated.In such information systems,a reflective relation is proposed which is based on the controlling of two parameters.The rough set model based on this reflective relation is compared with some other existing rough set models which have been used to deal with incomplete information system.An illustrative example is analyzed to indicate the validity of the new-defined binary relation.

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What this paper is about

In this paper,the incomplete information system in which lost and absent unknown values are coexisting is deeply investigated.In such information systems,a reflective relation is proposed which is based on the controlling of two parameters.The rough set model based on this reflective relation is compared with some other existing rough set models which have been used to deal with incomplete information system.An illustrative example is analyzed to indicate the validity of the new-defined binary relation.

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Available abstract

In this paper,the incomplete information system in which lost and absent unknown values are coexisting is deeply investigated.In such information systems,a reflective relation is proposed which is based on the controlling of two parameters.The rough set model based on this reflective relation is compared with some other existing rough set models which have been used to deal with incomplete information system.An illustrative example is analyzed to indicate the validity of the new-defined binary relation.

Key concepts: Rough set, Binary relation, Relation (database), Extension (predicate logic), Set (abstract data type), Information system, Complete information, Data mining

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