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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.
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Received: 14 December 2012
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2013, Vol. 26 
