Abstract
Social risks in large-scale projects are ranked according to the results of risk assessment, and the order helps assign the resource priority for the high risk events. The common method of risk evaluation is mostly based on probability and consequences of risk events, but ignores the management properties of them. This paper combines rough sets theory and extenics theory, and then builds the extenics risk assessment model based on rough sets theory. This model eliminates some valueless indicators and evaluates their weights using the rough sets theory and calculates the risk grades by extenics evaluation. In the last part, this paper analyzes an airport construction project to prove the practicality and effectiveness of the model.
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References
Ulrich, B., Joost, V.L.: The risk society and beyond: critical issues for social theory. Sage (2000)
Holzmann, R., Jørgensen, S.: Social Risk Management: A new conceptual framework for Social Protection, and beyond. International Tax and Public Finance 8(4), 529–556 (2001)
Li, S.M.: A Summarize on the Project Risk Sequencing. Sci./Tech. Information Development & Economy 1, 158–160 (2006)
Haimes, Y.Y.: Risk modeling, assessment, and management, vol. 40. John Wiley & Sons (2005)
Ward, S.C.: Assessing and managing important risks. International Journal of Project Management 17(6), 331–336 (1999)
Cai, W.: Extension theory and its application. Chinese Science Bulletin 44(17), 1538–1548 (1999)
Baccarini, D., Richard, A.: The risk ranking of projects: a methodology. International Journal of Project Management 19(3), 139–145 (2001)
Pawlak, Z.: Rough sets. International Journal of Computer & Information Sciences 11(5), 341–356 (1982)
Ayyub, B.M.: Risk analysis in engineering and economics. CRC Press (2014)
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© 2014 Springer International Publishing Switzerland
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Gu, G., Le, Y., Wei, F., Li, C. (2014). Rough Sets Theory Approch to Extenics Risk Assessment Model in Social Risk. In: Zeng, Z., Li, Y., King, I. (eds) Advances in Neural Networks – ISNN 2014. ISNN 2014. Lecture Notes in Computer Science(), vol 8866. Springer, Cham. https://doi.org/10.1007/978-3-319-12436-0_36
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DOI: https://doi.org/10.1007/978-3-319-12436-0_36
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