Study Based on “Situational Rationality Hypothesis for Customer Market Classification Model

摘要：

The traditional market segmentation was based on “transcendental Rationality or “Situational Rationality, studies shows that it had disadvantages. This paper states the “Situational integrated rationality hypothesis and then comes up with the market segmenting models and classification algorithm basing on this hypothesis. This algorithm combined the Rough Set theory and Neural Networks in application, which overcoming the dilemma that caused complicated network structure and long training time by only using Neural Networks and influenced the classification precision caused by noise disturb by only using Rough Set methods. Finally, the paper did a comparison experiment between the traditional method and the method we came up, the results shows that the model and algorithm has its advantage on every aspects.

关键词： words：Segmenting Situational Rationality Rough Set Neural Networks

作者: Yan Zheng Xiao-lei Wang Chang-qing Li

作者单位: Inner Mongolia Finance and Economics College, Hohhot, P.R.China School of Management, Inner Mongolia University of Technology Hohhot, P.R.China, 010051

会议类型: 国际会议

会议名称: The Third International Conference on Operations and Supply Chain Management(第三届运营与供应链管理国际会议)

会议地点: 武汉

会议语种:英文

页码: 761-771

在线出版日期: 2009-07-28（万方平台首次上网日期，不代表论文的发表时间）