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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Volume 07 > No. 1L

 
   

Rough Set Model Based on the Dual-limited Symmetric Similarity Relation

PP: 11-17
Author(s)
Yu-Ming Zhai, Rui-Xia Yan, Zhen-Yu Huang, Bin Guo,
Abstract
Information systems are often incomplete in object world. This paper puts forward a new rough set model in incomplete information system. The concepts of comparable degree and reliability are proposed, and a dual-limited symmetric similarity relation is constructed. Then a new rough set model based on dual-limited symmetric similarity relation is designed, which determines the upper approximation, lower approximation and boundary. Meanwhile, classification granularity and accuracy of knowledge are studied. An example presented illustrates the effectiveness and practicality of the rough set model based on the dual-limited symmetric similarity relation.

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