HYPERSURFACE DISCRETIZATION METHOD OF CONTINUOUS ATTRIBUTE IN COMPLEX DECISION-MAKING PROBLEMS
This paper presents a hypersurface discretization method of continuous-valued attribute in complex decision-making problems.Firstly, the definition of hypersurface in decision system is given and the hypersurface is proved to be a high-order polynomial Item sum of the polynomial is given.Meanwhile, the relation between the number of hypersurface and the maximal number of decision rules is also proved.Then a method for obtaining hypersurface by Support Vector Machine (SVM) is proposed.Finally, taking the store strategy of low consumption items as an example, the paper compares hypersurface discretization method with hyperplane discretization method.The experiment result indicates that the indirect hypersurface discretization method is more effective to classify the decision classes in decision tables and obtain simpler decision rules.
Discretization method hypersurface continuous attribute
YAN LUO CHANG-RUI YU
Institute of System Engineering, Shanghai Jiao Tong University, Shanghai 200052, China School of Information Management, Shanghai University of Finance and Economics, Shanghai 200433, Chi
国际会议
2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)
香港
英文
2603-2607
2007-08-19(万方平台首次上网日期,不代表论文的发表时间)