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Extension of rough set model in incomplete information system

Shen Jin-biao

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Abstract

This paper investigated the incomplete information system in which lost and absent unknown values were coexisting deeply.In such information systems,proposed a reflective relation which was based on the controlling of one parameter.Compared the rough set model based on this reflective relation with some other existing rough set models which had been used to deal with incomplete information system.Analyzed an illustrative example to indicate the validity of the new-defined binary relation.

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What this paper is about

This paper investigated the incomplete information system in which lost and absent unknown values were coexisting deeply.In such information systems,proposed a reflective relation which was based on the controlling of one parameter.Compared the rough set model based on this reflective relation with some other existing rough set models which had been used to deal with incomplete information system.Analyzed an illustrative example to indicate the validity of the new-defined binary relation.

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Available abstract

This paper investigated the incomplete information system in which lost and absent unknown values were coexisting deeply.In such information systems,proposed a reflective relation which was based on the controlling of one parameter.Compared the rough set model based on this reflective relation with some other existing rough set models which had been used to deal with incomplete information system.Analyzed an illustrative example to indicate the validity of the new-defined binary relation.

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

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