Abstract
The project risk management is a hot topic in the field of current management. As to the problems of lacking data to construct the decision model and lacking quantitative ways to inspect model,this paper sets about from the Bayesian network and puts forward a method of constructing Bayesian belief network with chain inference method, diagnosis inference method and the guidance of experts under the condition of lacking data. The network are not only used to display project risk directly in the form of graph but also used to calculate local risk and overall risk. In addition, the paper has discussed the way of using Bayesian belief construction algorithm to check out the similarity of the network structure and sample in a quantitative way combined with B-Course tool. In order to save a large amount of time of testing, the paper also optimizes the traditional mathematical Bayesian algorithm with the method of compression. Thus the decision maker can improve the utilized efficiency of time. Finally, this paper has summarized the advantages and disadvantages of this new method and provides a different way of thinking on decision-making of risk management.
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References
Avent T (2013) Foundational issues in risk assessment and risk management. Risk Anal 32(10):1647–1656 NULL
Hu ZG (2005) Project management. Publishing House of Mechanical Industry, Beijing, pp 126–153 (in Chinese)
Huang X, Qian YT (2012) Risk analysis and countermeasures in construction enterprise. J Bus (Study Finance Econ) 2:102–113 (in Chinese)
Li QZ, Wang Q (2011) Method of software project risk management based on Bayesian network. Appl Comput Syst 2:87–96 (in Chinese)
Li XM, Cai X (2011) Extreme risk measure model based on the bayes statistical inference. Stat Decis Mak 12:68–89 (In Chinese)
Mao SS (2013) Bayesian statistics. Publishing House of China statistics, Beijing, pp 38–49 (in Chinese)
Project Management Institute (2013) A guide to the project management body of knowledge: guide, 5th edn. Project Management Institute, Oregon
Shen JM (2009) Project risk management. Publishing house of mechanical industry, Beijing, pp 224–263 (in Chinese)
Wang ZX (2012) Researching of project investment risk decision-making method in the water conservancy construction. J Water Conservancy Shanxi Prov 4:68–72 (In Chinese)
Wang S (2011) The evaluation of electric enterprise management based on Bayesian decision method. J Wuhan Univ (Eng Sci) 4:124–132
Wang X, Xu YQ, Gao Y (2011) Risk assessment of large construction project based on Bayesian network. J Eng Manage 5:113–127
Weber P, Medina OG et al (2013) Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas. Eng Appl Artif Intel 25(4):671–682
Xiong RQ, Li XS (2011) Risk analysis of the real estate project based on Bayesian network inference. J Zhengzhou Univ (Philos Soc Sci Ed) 4:92–108 (in Chinese)
Zhao Y, Zhang Y (2012) Risk analysis of rules of it project based on the theory of rough set and bayes. J Shenyang Inst Eng (Nat Sci Ed) 1:81–97
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He, J., Mei, H. (2014). Improvement of Decisions about Project Risk Management Based on Bayesian Network. In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55122-2_100
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DOI: https://doi.org/10.1007/978-3-642-55122-2_100
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