Abstract
ABSTRACT Based on the analysis of the characteristics of risk factors in knowledge management of engineering projects, this paper uses artificial intelligence theory to calculate the objective weight of risk indicators, and conducts risk analysis to provide early warning of risks. By studying the risk of knowledge management in engineering projects, it helps project managers to take correct and effective measures to prevent and respond to various risks that may occur in engineering projects, and minimise the intellectual property loss that the risks may cause. At the same time, summing up the relevant experience and summarising the coping strategies of the risk factors often encountered in engineering projects. It has practical guiding significance for the subsequent risk management activities of similar projects.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
