J4 ›› 2012, Vol. 34 ›› Issue (9): 143-148.
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QIAN Shenyi,LI Hongchan
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Abstract:
The classic rough set theory can solve problems by means of indiscernibility relation,but it is powerless to resolve the sequencing classification problems that contain qualitative attributes and quantitative attributes as well as criterias.In view of this situation,thelassic rough set theory is firstly extended,and then,a decision analysis method based on the extended rough set theory is proposed.This method replaces the indiscernibility relation in the original rough set theory by the "indiscernibilitysimilaritydominance" relation and obtains rough approximation of knowledge.The effectiveness and superiority of the method are demonstrated by a real example.
Key words: rough set;sequencing classification problem;indiscernibilitysimilaritydominance relation;decision analysis method
QIAN Shenyi,LI Hongchan. Sequencing Classification Model Based on IndiscernibilitySimilarityDominance Relation[J]. J4, 2012, 34(9): 143-148.
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http://joces.nudt.edu.cn/EN/Y2012/V34/I9/143