应用EN、PCA和RBF网络评价建设项目动态联盟的候选投标项目

基于建设项目动态联盟候选投标项目评价的内涵分析,确定了候选投标项目评价的决定因素,构建了候选投标项目评价的指标体系。首先通过计算欧氏贴近度,剔除了贴近度较小的指标,然后采用主成分分析将众多指标进行综合,消除样本间的信息重叠,降低RBF网络的输入维数。针对候选投标项目评价系统的非线性特征,采用RBF网络高度非线性映射能力,对某建设项目动态联盟的候选投标项目进行了评价。评价结果表明EN、PCA与RBF网络相结合的方法比PCA与RBF网络相结合的方法及单纯的RBF网络方法具有较高的精确度和较好的拟合效果。整个数据处理过程用软件完成,成本低廉、运算速度快捷,能够克服数据处理流程的复杂性,具有较好的实用性。

Evaluate Candidate Bidding Projects of Virtual Enterprise of Construction Project Using EN,PCA and RBF Network

Based on the analysis on the meaning of evaluating candidate bidding projects of virtual enterprises of construction project,we identify the determinants of evaluating candidate bidding projects,and establish the evaluation criteria system for candidate bidding projects.Firstly,through computing Euclid nearness,we eliminate two criteria whose Euclid nearness is too small.Then,through principal component analysis,we synthesize numerous criteria,eliminate information overlapping of the sample,and reduce the i...