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《Computer Engineering and Applications》 2010-01
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Important degree of attribute and attribute reduction in incomplete information system

YANG Ji-lin1,ZHOU Yu-hua2,QIN Ke-yun11.School of Mathematics,Southwest Jiaotong University,Chengdu 610031,China 2.Xinyang Vocational and Technical College,Xinyang,Henan 464000,China  
Based on definition of similarity relations,significance of the attribute relative to each object is discussed in incomplete information systems.Important degree of the attribute is obtained by using the OWA operator,which can aggregate relative significance of each attribute.According to important degree of the attribute,a new method of attributes reduction is presented.Finally,the experimental results show that the way can not only find the reduction of an incomplete information system,but also reduce the search space of attribute reduction.
【Fund】: 国家自然科学基金No.60875034;; 四川省杰出青年基金No.06ZQ026-037~~
【CateGory Index】: TP18
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