Li, W., 2019. Risk analysis model of offshore engineering project management based on fuzzy membership function. In: Li, L.; Wan, X., and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research, Special Issue No. 98, pp. 92–95. Coconut Creek (Florida), ISSN 0749-0208.

As a high-risk and high-cost project for offshore engineering (OE), the risk assessment and risk management of such project are necessary measures to reduce project economic losses. Based on a fuzzy membership function and a probability analysis method, this article analyzes the possible risks in OE projects, calculates the risk values of various factors, and establishes a risk analysis model for project management (PM) of the OE based on the fuzzy membership function. The research results show that in the offshore engineering PM (OEPM), external factors are the most risky, and the PM organization needs to increase attention on them; the organizational management structure is well organized in aspects such as clear divisions of labor, reasonable distribution of powers and responsibilities, and sound project operation; the key to risk management countermeasures is reducing the possibility of risk occurrence and preventing the occurrence of risks as much as possible by precontrol on one hand and by lowering the degree of risk loss and ensuring the risk consequences no longer deteriorate on the other. These research findings provide theoretical support for risk management and risk control in the OEPM.

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