Abstract
This paper constructs a risk element network(REN) transmission model of generic project. Firstly, input the risk samples probability distribution of the lowest level risk elements in the risk element network; Secondly, use the risk element transmission probability distribution matrixes to express the probability distribution relationship layer by layer, finally, the predict probability distribution values of last risk elements can be acquired from the parallel computing. And the model can back-propagation adjusts the probability distributions matrixes automatically as the BP artificial neural network, whose purpose is to make the predict output exactly. REN can solve the quantitative analysis calculation between the risk elements, and has parallel and high accurate characteristics. As the instance proved, the model is applied in generic project risk element network transmission theory.
Project Supported by National Natural Science Foundation of China(NSFC)(70572090).
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References
Perry, J.G.: Risk management - An approach for project managers. International Journal of Project Management 4(4), 126–211 (1987)
Baker, R.W.: Handling uncertainty. International Journal of Project Management 4(4), 205–210 (1986)
Antl, B.: Currentcy risk and the corporate. Economy Publications, London (1980)
Hughes, M.W.: Why project fail: The effects of ignoring the obvious. Industrial Engineering 18(4), 14–18 (1986)
Raftery, J.: Risk Analysis in Project Management. E & FNSPON (1994)
Ward, S., Chapman, C.: Transforming project risk management into project uncertainty management. International Journal of Project Management 21, 97–105 (2003)
Chan, F.T.S., Kumar, N.: Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega 35, 417–431 (2007)
Xu, Z.-s., Sun, Z.-d.: Priority method for a kind of multi-attribute decision-making problems. Journal of Management Sciences in CHINA 5(3), 35–39 (2002)
Li, D.: Interval Number and its Application:Master Degree Thesis. Southwest Jiaotong University (2004)
Bellman, R.E., Zadeh, L.: A.Decision making in a fuzzy environment. Management Science 17, 141–164 (1970)
Marchalleck, N., Kande, A.: Fuzzy logic applications in transportation Systems. International Journal on Artificial Intelligence Tools 4(3), 413–432 (1995)
Li, C.B.: A new thought of common generalized project’s risk analytic theory model. Technology Economics 7, 56–58 (2004)
Wang, J., Ma, T.: The applying of the project risk based on data mining. In: The ninth CSEE Youth Symposium, Article 3–39 (2006)
Ma, T.T., Li, C.B.: The applications of risk analysis in the comprehensive evaluation of construction projects. In: Proceedings of CRIOCM 2006 International Research Symposium on Advancement of Construction Management and Real Estate (November 2006)
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Li, C., Wang, J. (2007). The Research on Generic Project Risk Element Network Transmission Parallel Computing Model. In: Kang, L., Liu, Y., Zeng, S. (eds) Advances in Computation and Intelligence. ISICA 2007. Lecture Notes in Computer Science, vol 4683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74581-5_59
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DOI: https://doi.org/10.1007/978-3-540-74581-5_59
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