Life Cycle Consulting of Engineering Construction Risk Evaluation Based Intuitionistic Fuzzy Sets and Euclidean Similarity

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. KEYWORDSLife cycle consulting of engineering construction, intuitionistic fuzzy sets, euclidean similarity, risk evaluation. Research OverviewArdeshir et al. [1] used fuzzy fault trees to determine the severity of risks based on time, cost, quality, and safety standards, and ranked the risk factors of urban tunnel projects. Fan Ying[2] uses the geometric characteristics of AHP and triangular fuzzy numbers to calculate fuzzy weights, and ranks risk factors according to the _______________