基于招投标数据OLAP分析及智能化配套检索在招投标系统中的应用研究  

Application of OLAP Analysis and Intelligent Supporting Retrieval Based on Bidding Data in Bidding System

作　　者：刘润珍 陈韬 陈红惠 朱昆 许娟 戴鸿昊 LIU Runzhen;CHEN Tao;CHEN Honghui;ZHU Kun;XU Juan;DAI Honghao(Yunnan Power Grid Co.,LTD.,Kunming 650000)

机构地区：[1]云南电网有限责任公司,昆明650000

出　　处：《计算机与数字工程》2018年第7期1481-1486,共6页Computer & Digital Engineering

摘　　要：针对参与招投标各方对项目成本预估的迫切需求以及招投标系统中数据分析功能不足的缺陷,论文提出一种基于数据联机分析处理(OLAP)理论的工程项目成本预测模型。该模型基于对相似项目成本数据的统计,采用一种优化的数据分析模型,并通过对模型的求解实现了对项目成本的较为准确的预估。最后将该成本数据模型引入招投标系统,实现了系统的数据分析功能。文中通过实例计算和预测结果的准确度评价表明,该模型预测结果具有可靠的准确度,能够满足招投标工作的实际需求。In view of the urgent need of all parties involved in bidding and bidding and the insufficiency of data analysis function in bidding and tendering system,this paper proposes a project cost forecasting model based on data online analysis and processing(OLAP)theory.Based on the statistics of similar project cost data,the model uses an optimized data analysis model and estimates the project cost more accurately by solving the model.Finally,the cost data model is introduced into the bidding system to realize the data analysis function of the system.The evaluation of the accuracy of the calculation and forecasting results in this paper shows that the forecasting result of the model has reliable accuracy and can meet the actual demand of bidding and tendering.

关 键 词：招投标数据 OLAP 预测模型 工程成本 预测误差 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]