• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (9): 143-148.

• 论文 • Previous Articles     Next Articles

Sequencing Classification Model Based on IndiscernibilitySimilarityDominance Relation

QIAN Shenyi,LI Hongchan   

  1. (School of Computer and Communication Engineering,
    Zhengzhou University of Light Industry,Zhengzhou 450002,China)
  • Received:2012-04-13 Revised:2012-06-20 Online:2012-09-25 Published:2012-09-25

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 "indiscernibilitysimilaritydominance" 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;indiscernibilitysimilaritydominance relation;decision analysis method