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  2013, Vol. 26 Issue (11): 1010-1018    DOI:
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Research on Interval Reduction Model in Variable Precision Rough Set
SONG Xiao-Wei,WANG Jia-Yang
School of Information Science and Engineering,Central South University,Changsha 410083

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Abstract  Interval reduction models based on classification quality and positive region lead to different kinds of reduction anomalies in variable precision rough set model (VPRS-Model). The reason is that the size of condition classification changes with the reduction of condition attributes,besides,classification quality,positive region and lower approximation distribution do not change equivalently any more. A reduction model based on lower approximation distribution is defined to avoid all kinds of reduction anomalies and an interval reduction method is presented based on ordered discernibility matrix. At last,the application of 3 kinds of interval reduction model on Wine Dataset illustrates the relationship of different reduction models.
Key wordsInterval Reduction      Reduction Model      Reduction Algorithm     
Received: 14 December 2012     
ZTFLH: TP181  
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SONG Xiao-Wei
WANG Jia-Yang
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SONG Xiao-Wei,WANG Jia-Yang. Research on Interval Reduction Model in Variable Precision Rough Set[J]. , 2013, 26(11): 1010-1018.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2013/V26/I11/1010
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