The Integrated Methodology of Rough Set Theory and Neural Network for Competitiveness Assessment on Construction Business

摘要：

This paper proposes a hybrid intelligent system that evaluate the competitiveness of the construction business based on the past business performance data,combining rough set approach and neural network.First,we can get reduced information table,which implies that the number of evaluation criteria is reduced with no information loss through rough set approach.And then,this reduced information is used to train neural network to infer appropriate parameters.The effectiveness of our methodology was verified by experiments comparing neural network approach with our hybrid approach.For the experiment and the validation,the basic data of 20 construction firms were selected.

关键词： competitiveness construction business rough set neural network.

作者: DU Hui ZHONG Zuowei

作者单位: School of management,Harbin Institute of Technology,P.R.China,150001 School of Architecture and Civil Engineering,Inner Mongolia University of Technology,P.R.China,01006

会议类型: 国际会议

会议名称: 2007 International Conference on Management Science and Engineering(2007管理科学与工程国际学术会议)

会议地点: 河南焦作

会议语种:英文

页码: 2619-2624

在线出版日期: 2007-08-20（万方平台首次上网日期，不代表论文的发表时间）