全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于改进的AHP和信息熵的路桥工程投标决策及风险评估
Bidding Decision and Risk Assessment of Road and Bridge Project Based on Improved AHP and Information Entropy

DOI: 10.12677/MSE.2021.102015, PP. 109-119

Keywords: 路桥工程,投标决策,风险因素,改进的模糊层次分析,信息熵,风险评估
Road and Bridge Engineering
, Bidding Decision, Risk Factors, Improved Fuzzy Analytic Hierarchy Process, Information Entropy, Risk Assessment

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对路桥工程招投标阶段,项目风险评估是交通建筑企业进行投标决策的重要依据。结合交通行业建设市场的实际状况,分析影响路桥工程投标决策的风险因素,并形成投标风险评估指标体系。同时考虑到风险因素的多样性、关联性、不确定性以及动态性等特点,运用模糊数学原理,提出了一种基于改进的三标度模糊层次分析与信息熵相结合的风险评估方法,并用于计算风险因素的综合权重。将以往模糊评判中基于最大隶属度原则来确定风险等级归属改为评分机制,把综合权重转化为风险分数值,从而确定风险等级并指导投标决策。将该评估方法结合实例分析,结果表明:获取的综合权重方法具有较高的可行性和可靠性,能够较真实的反应投标阶段的风险水平。此方法可为建筑企业在实际路桥工程投标决策时提供科学合理的风险评估依据,具有一定的参考价值与指导意义。
For the bidding stage of road and bridge projects, project risk assessment is an important basis for traffic construction enterprises to make bidding decisions and choices. Combined with the actual situation of the construction market of the transportation industry, the risk factors affecting the bidding decision of road and bridge projects are analyzed, and the bidding risk evaluation index system is formed. At the same time, considering the diversity, relevance, uncertainty and dynamics of risk factors, using the principle of fuzzy mathematics, a risk assessment method based on improved three-scale fuzzy analytic hierarchy process and information entropy is proposed, and it is used to calculate the comprehensive weight of risk factors. The grade attribution of risk determined by the principle of maximum membership degree in the past fuzzy evaluation was changed to the scoring mechanism. The comprehensive weight is transformed into the score of the risk, so as to determine the risk level and guide the bidding decision. The evaluation method is combined with an example analysis, and the results show that the comprehensive weight method has high feasibility and reliability, and can truly reflect the risk level of the bidding stage. This method can provide scientific and reasonable risk assessment basis for construction enterprises in actual road and bridge project bidding decision-making, and has a certain reference value and guiding significance.

References

[1]  张朝勇, 王卓甫. 基于熵权的Fuzzy-AHP法的水电工程投标风险决策[J]. 水利水电技术, 2007, 38(6): 84-87.
[2]  黎建强, 詹文杰, 张金隆, 汪寿阳. 多风险因素的投标报价决策方法[J]. 运筹与管理, 2002, 11(1): 1-10.
[3]  Seydel, J. and Olson, D.L. (1990) Bids Considering Multiple Criteria. Journal of Construction Engineering and Management, 116, 609-622.
https://doi.org/10.1061/(ASCE)0733-9364(1990)116:4(609)
[4]  任玉珑, 唐道鸿. 投标报价中报高率确定的支持向量机方法研究[J]. 科技管理研究, 2006, 26(11): 237-241.
[5]  Hegazy, T. and Moselhi, O. (1994) Analogy-Based Solution to Markup Estimation Problem. Journal of Computer in Civil Engineering, 8, 72-87.
https://doi.org/10.1061/(ASCE)0887-3801(1994)8:1(72)
[6]  Li, H. (1996) Neural Network Models for Intelligent Support for Markup Estimation. Journal of Construction Engineering and Management, 3, 69-81.
https://doi.org/10.1108/eb021023
[7]  Fayek, A. (1998) Competitive Bidding Strategy Model and Software System for Bid Preparation. Journal of Construction Engineering and Management, 124, 1-10.
https://doi.org/10.1061/(ASCE)0733-9364(1998)124:1(1)
[8]  刘尔烈, 王健, 骆刚. 基于模糊逻辑的工程投标决策方法[J]. 土木工程学报, 2003, 36(3): 57-63.
[9]  张朝勇, 王卓甫, 邢会歌. 基于Choquet模糊积分的工程投标风险评估方法[J]. 土木工程学报, 2007, 40(10): 98-104.
[10]  Li, H. and Love, P.E.D. (1999) Combining Rule Based Expert Systems and Artificial Neural Networks for Markup Estimation. Construction Management and Economics, 17, 169-176.
https://doi.org/10.1080/014461999371664
[11]  Lund, A., Gorden, N. and Altounian, A. (1989) Anaheim Bid User’s Guide. Anaheim Technologies, Inc., Montreal.
[12]  杨兰蓉. 基于事例推理的报高率确定决策模型及其支持系统的研究[D]: [博士学位论文]. 武汉: 华中科技大学, 2000.
[13]  Dikmen, I., Talat Birgonul, M. and Kemal Gur, A. (2007) A Case-Based Decision Support Tool for Bid Mark-Up Estimation of International Construction Projects. Automation in Construction, 17, 30-44.
https://doi.org/10.1016/j.autcon.2007.02.009
[14]  Jo, H. and Han, I. (1996) Integration of Case-Based Forecasting, Neural Network, and Discriminant Analysis for Bankrupt Prediction. Expert System with Application, 11, 415-422.
https://doi.org/10.1016/S0957-4174(96)00056-5
[15]  许志端, 杨兰蓉, 张金隆. 一种基于事例推理的数据库模式设计专家系统的体系结构[J]. 厦门大学学报(自然科学版), 2000, 39(5): 599-595.
[16]  温国锋, 陈立文, 李宏艳. 基于Fuzzy-Rough-TOPSIS的工程项目投标风险评价模型研究[J]. 数学的实践与认识, 2012, 42(23): 65-74.
[17]  毕克新, 孙金花, 张铁柱, 冯英浚. 基于模糊积分的区域中小企业技术创新测度与评价[J]. 系统工程理论与实践, 2005, 25(2): 41-61.
[18]  朱德馨, 刘宏昭. 基于改进的模糊层次分析法的电主轴可靠性分配[J]. 中国机械工程, 2011, 22(24): 2923-2927.
[19]  杨丁颖, 黄健陵. 铁路工程项目风险管理体系的构建与运行[J]. 铁道科学与工程学报, 2015, 12(6): 1513-1519.
[20]  曾鸣, 陈英杰, 胡献忠, 董达鹏. 基于多层次模糊综合评价法的我国智能电网风险评价[J]. 华东电力, 2011, 29(4): 535-539.
[21]  付沙, 宋丹. 基于AHP和模糊综合评判的信息安全风险评估方法[J]. 实验室研究与探索, 2012, 31(6): 207-210.
[22]  刘换, 赵刚. 基于多层次模糊综合评判及熵权理论的实用风险评估[C]//中国信息安全测评中心. 第五届信息安全漏洞分析与风险评估大会论文集: 2012年卷. 2012: 262-276.
[23]  贾进章, 董晓雷. 基于模糊综合评价-集值统计法的煤矿外因火灾危险性分析[J]. 安全与环境学报, 2015, 15(2): 11-14.
[24]  江婷, 周洪文, 张伟. 基于熵值法的地铁运营系统风险评估[J]. 中国水运(下半月), 2015, 15(7): 53-56.
[25]  Dai, C.Q. and Zhao, Z.H. (2015) Fuzzy Comprehensive Evaluation Model for Construction Risk Analysis in Urban Subway. International Journal of Modeling, Simulation, and Scientific Computing, 6, Article ID: 1550024.
https://doi.org/10.1142/S1793962315500245

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133