Developing Model of Grey Clustering Based on Grey Number
Analysis result shows that the fact thing is grey system. According to the classical grey theory, the grey number was adopted to express the evaluation indices and clustering thresholds. Furthermore, grey number formula was presented and clustering model was built based on the trapezoid whitening weight function. Then, possibility idea of compare interval number was introduced into grey number compare. Three signalized intersections were given to prove the effectiveness and reasonableness of the presented model,evaluation results conform to the actual analysis, the maximum clustering value 0.416,0.839 of the intersection 1 A belong to the III type, the maximum clustering value 0.202,0.728 and 0.413,0.645 of the intersection 2 A and 3 A belong to the IV type, and the second maximum clustering value of the intersection 2 A belong to V type, the second maximum clustering value of the intersection 3 A belong to the III type, not only it can carry on clustering according to the maximum value, but also act accurate sequencing in accordance with the second largest value.
Liu Junjuan Li Aizeng Dong Fenyi
School of Information and Management Sciences, Henan Agricultural University, Zhengzhou,Henan ,China Department of Municipal Engineering, Henan University of Urban Construction, Pingdingshan, Henan,Chi
国际会议
2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)
南京
英文
708-712
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）