变精度优势粗糙集属性约简择优算法

Abstract

Abstract: The disadvantages of the current conditional information entropy are analyzed when conditional information entropy is used to measure reduction of attributes.Variable precision rough sets theory is used as a basis for proposing a new cxndition information,with another parameter chosen.Finally,a new algo rithm is designed based on new conditional information entropy to choose reduction of attributes of arialble precision dominance rough.Theoretical analysis and experimental results show the eff,ctiveness of the algorithm proposed.

Key words: conditional information entropy, dominance rough sets, attributes reduction

CLC Number:

C931

LUO Gong-zhi, YANG Xiao-jiang. An Algorithm to Choose Reduction of Attributes of Variable Precision Dominance Rough Sets[J]. Chinese Journal of Management Science, 2009, 17(2): 169-175.

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An Algorithm to Choose Reduction of Attributes of Variable Precision Dominance Rough Sets

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