Supplier Classification Based on Artificial Immune System Clustering Algorithm
The theory of artificial immune system cluster analysis was studied firstly,the real encoding artificial immune system cluster analysis process was put forward,Then identify indexes of supplier classification were confirmed.Finally,according to a power company some supplier data,supplier were classed,using the cluster analysis with artificial immune system.Suppliers were divided into three categories:the first group includes 3 suppliers,4 and 3 suppliers for the second group and the third group respectively.The results show that the calculation process of Artificial immune system clustering algorithm is simple,This method can minimize the requirements of professional knowledge and it is suitable to large volume of data while it is not sensitive to the different data order at the same time.So the artificial immune system cluster algorithm has many advantages in obtaining the optimal solution,and the artificial immune system cluster algorithm is feasible to be used in supplier classification.
artificial immune system cluster supplier classification
Shuxia Yang Hui Ding Wanhua Liang
School of Economics and Management, North China Electric Power UniversityBeijing, 102206,China Electricity Oversight Office of Shandong, Jinan, 250002,China
国际会议
台湾
英文
4796-4800
2011-12-11（万方平台首次上网日期，不代表论文的发表时间）