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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© 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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