Sequencing Classification Model of Multiple Categories Attributes

doi:10.13190/jbupt.200903.113.zhuhd

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2009, Vol. 32 ›› Issue (3): 113-117.doi: 10.13190/jbupt.200903.113.zhuhd

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Sequencing Classification Model of Multiple Categories Attributes

ZHU Hao-Dong

Received:2008-10-24 Revised:2009-02-21 Online:2009-06-28 Published:2009-06-28
Contact: ZHU Hao-Dong

Abstract

Abstract:

Classic rough set approach acquires knowledge by means of indiscernibility relation, but it is powerless to resolve the sequencing classification problems which contain qualitative and quantitative attributes as well as criterias. In this case, a decision analysis method based on extension of rough set theory is proposed .This method replaces indiscernibility relation in original rough set theory with the “indiscernibility-similarity-dominance” relation and obtains rough approximation of knowledge, it will not only be able to resolve the aboved-mentioned problems but also deal with inconsistence in decision table. Finally, the effectiveness and superiority of the method are demonstrated by a real example.

Key words: Rough Set, Indiscernibility Relation, Sequencing Classification Problem, Rough Approximation

ZHU Hao-Dong. Sequencing Classification Model of Multiple Categories Attributes[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2009, 32(3): 113-117.

References

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Sequencing Classification Model of Multiple Categories Attributes

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