Abstract
This paper studies life cycle consulting of engineering construction risk. Firstly build a risk evaluation hierarchy for the life cycle consulting of engineering construction risk, and then transform expert evaluation information into intuitionistic fuzzy sets to form an evaluation matrix, use intuitionistic fuzzy entropy to describe the degree of fuzziness of expert information and determine the criterion weight; then use Euclidean distance to determine the similarity of expert information The expert weight is determined by combining the degree of hesitation with the degree of hesitation, and the score function is used to determine the comprehensive score value of each risk factor, and the risk factor is predicted accordingly.
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 call
