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基于SPSS和RBF的工程总承包竞争力综合评价模型
引用本文:谢颖,王要武.基于SPSS和RBF的工程总承包竞争力综合评价模型[J].哈尔滨理工大学学报,2010,15(2):106-109.
作者姓名:谢颖  王要武
作者单位:1. 哈尔滨工业大学,经济管理学院,黑龙江,哈尔滨,150001;东北林业大学,土木工程学院,黑龙江,哈尔滨,150040
2. 哈尔滨工业大学,经济管理学院,黑龙江,哈尔滨,150001
摘    要:分析了我国工程总承包企业在开展多元化经营战略中竞争力的构成要素,并利用SPSS软件辅助构建包括技术水平及创新能力、资金运营能力、综合管理能力、企业形象建设、市场竞争能力及组织能力等方面的工程总承包企业竞争力的评价指标体系.在此基础上建立了基于RBF网络的工程总承包企业的竞争力评价模型.最后,通过实例模拟验证所建模型的有效性.

关 键 词:SPSS  径向基函数神经网络  工程总承包企业  竞争力

Comprehensive Evaluation Model of General Contractors' Competitiveness Based on SPSS and RBF Neural Network
XIE Ying,WANG Yao-wu.Comprehensive Evaluation Model of General Contractors' Competitiveness Based on SPSS and RBF Neural Network[J].Journal of Harbin University of Science and Technology,2010,15(2):106-109.
Authors:XIE Ying  WANG Yao-wu
Affiliation:1.School of Management Harbin Institute of Technology,Harbin 150001,China;2.College of Civil Engineering,Northeast Forestry University,Harbin 150040,China)
Abstract:Because of complicated attributes of competitiveness of general contractor,a comprehensive indicator system is proposed under the assistant of SPSS.The system comprises technology level and innovation capability,ability to fund operations,integrated management capabilities,corporate image building capability,market competitiveness and organizational capacity.Then,the muti-indices comprehensive evaluation model of general contractors based on radial basic function neural network is built.Finally the real general engineering contract enterprises and its relative data are employed to testify the validity of the proposed approach.
Keywords:SPSS
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