2010Journal of Hebei Polytechnic UniversityRequires access

The Model of Attributes Discretization Based on Uncertain Information System

Chunfeng Liu

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Abstract

Discretization of continuous attributes is an important link that the rough set theory applied to the practical issues,but there is a larger choice of numerical uncertainty of the general method of discretization.In this paper,the posture difference composed by numerical difference studys the difference problem,and the results applied to the process of discretization of continuous attributes,forming a new method of discretization of continuous attributes based on the numerical difference analysis,resolving the issue of its uncertain,and finally giving a examples to verify.

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What this paper is about

Discretization of continuous attributes is an important link that the rough set theory applied to the practical issues,but there is a larger choice of numerical uncertainty of the general method of discretization.In this paper,the posture difference composed by numerical difference studys the difference problem,and the results applied to the process of discretization of continuous attributes,forming a new method of discretization of continuous attributes based on the numerical difference analysis,resolving the issue of its uncertain,and finally giving a examples to verify.

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Available abstract

Discretization of continuous attributes is an important link that the rough set theory applied to the practical issues,but there is a larger choice of numerical uncertainty of the general method of discretization.In this paper,the posture difference composed by numerical difference studys the difference problem,and the results applied to the process of discretization of continuous attributes,forming a new method of discretization of continuous attributes based on the numerical difference analysis,resolving the issue of its uncertain,and finally giving a examples to verify.

Key concepts: Discretization, Discretization of continuous features, Discretization error, Mathematics, Set (abstract data type), Significant difference, Numerical analysis, Mathematical optimization

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