The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/1753-8378.htm IJMPB 14,2 A review of artificial intelligence based risk assessment methods for capturing 300 complexity-risk...
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The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/1753-8378.htm IJMPB 14,2 A review of artificial intelligence based risk assessment methods for capturing 300 complexity-risk interdependencies Received 22 February 2019 Revised 11 July 2019 Cost overrun in construction projects Accepted 12 July 2019 Farman Afzal and Shao Yunfei School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China Mubasher Nazir University of the Punjab Quaid-i-Azam Campus, Lahore, Pakistan, and Saad Mahmood Bhatti University of Engineering and Technology, Lahore, Pakistan Abstract Purpose – In the past decades, artificial intelligence (AI)-based hybrid methods have been increasingly applied in construction risk management practices. The purpose of this paper is to review and compile the current AI methods used for cost-risk assessment in the construction management domain in order to capture
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