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计算机系统应用英文版:2010,19(4):157-161
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神经网络挖掘模型在水电评标决策支持中的应用
(华北电力大学 计算机科学与技术系 北京 102206)
Application of Neutral Net Data Mining Model in Bidding Evaluation Decision Support
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Received:July 24, 2009    Revised:August 27, 2009
中文摘要: 水电项目评标决策支持系统克服传统评标主观性和不确定性的弊端,充分利用历史评标数据,为水电工程项目中的评标环节提供决策支持。提出了基于神经网络算法的数据挖掘模型,分析和研究了模型特点及建立过程,并将其应用于水电工程项目评标决策支持系统中,结合水电项目招投标的实际业务需要,实现了一个公正合理的水电项目评标决策支持系统。
Abstract:Bidding evaluation decision support system overcomes the shortcomings like subjectivity and uncertainty in traditional bidding evaluation. It takes full advantage of history data to provide decision making support in bidding evaluation. This paper presents a data mining model based on neutral net algorithm, analyzes and studies its features and establishment, then applies the model in the hydropower project bidding evaluation decision support system, with the practical business demands of hydropower project bidding, to implement a fair and rational hydropower project bidding evaluation decision support system.
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曲俊华,汪萌.神经网络挖掘模型在水电评标决策支持中的应用.计算机系统应用,2010,19(4):157-161
QU Jun-Hua,WANG Meng.Application of Neutral Net Data Mining Model in Bidding Evaluation Decision Support.COMPUTER SYSTEMS APPLICATIONS,2010,19(4):157-161