基于非线性规划的数据离散化方法及其应用

Method of Data Discretization Based on Nonlinear Programming and Its Applications

数据离散化就是按照特定的规则或方法对数据进行分类的研究,是很多研究的基础,有很重要的现实意义。文章在对数量属性数据离散化方法进行简要总结的基础上,针对FCM经典算法的不足,提出了基于非线性规划的改进方法,并用GAMS软件编程实现。为了进一步检验该方法,文章又结合因子分析和数据挖掘的方法对建材超市顾客满意度问题进行了分析,把基于非线性规划的数据离散化方法应用于实际数据。

Data discretization is a kind of data classification research based on specialized rules or methods.It is very important since it has been widely used in preliminary period of many researches.After making an outline of the discretization methods of quantitative data in the past,this paper presents an improved method based on nonlinear programming,which is focused on the defect of the conventional FCM algorithm.It also present a program of our algorithm developed in GAMS. To verify our method in more detail,...