2014Journal of Liaoning Technical UniversityRequires access

Incomplete variable rough set of limited tolerance relation

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Abstract

Incomplete information for decision-making system incompatibility problems caused by information,the introduction of inclusion degree was proposed based on rough set model variable limited tolerance relation and its related properties were studied.This paper performed the comparison of the model followed by limited tolerance relation variable rough set model and the relationship between tolerance limit rough set analysis.The results show that the limited tolerance relation variable rough set model has a higher classification accuracy rough approximation and rough approximation like quality classification.An example illustrates that the theory is feasible.

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What this paper is about

Incomplete information for decision-making system incompatibility problems caused by information,the introduction of inclusion degree was proposed based on rough set model variable limited tolerance relation and its related properties were studied.This paper performed the comparison of the model followed by limited tolerance relation variable rough set model and the relationship between tolerance limit rough set analysis.The results show that the limited tolerance relation variable rough set model has a higher classification accuracy rough approximation and rough approximation like quality classification.An example illustrates that the theory is feasible.

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Available abstract

Incomplete information for decision-making system incompatibility problems caused by information,the introduction of inclusion degree was proposed based on rough set model variable limited tolerance relation and its related properties were studied.This paper performed the comparison of the model followed by limited tolerance relation variable rough set model and the relationship between tolerance limit rough set analysis.The results show that the limited tolerance relation variable rough set model has a higher classification accuracy rough approximation and rough approximation like quality classification.An example illustrates that the theory is feasible.

Key concepts: Rough set, Dominance-based rough set approach, Relation (database), Mathematics, Variable (mathematics), Set (abstract data type), Limit (mathematics), Data mining

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