Compromise Ranking Approach with Bootstrap Confidence Intervals for Risk Assessment in Port Management Projects

摘要: Risk management of port projects relies on the sequential analysis activities, which results in project-specific responses for reducing risk. assessment has previously been investigated projects; however, it is still comparatively neglected due to complexity risk process with nonparametric resampling methods and interval computations. In assessment, required data experts’ judgments often are limited. Moreover, statistical distributions parameters, play a significant role, usually unknown. Hence, traditional approaches do not have enough accuracy assist such problems. This paper presents novel compromise ranking approach based bootstrap confidence intervals projects. The project risks obtained through comparison numbers method according new weight strategy majority criteria optimism level experts. proposed implemented real case study developing countries validate investigate its performance industry. Consequently, discussed detail compared from different viewpoints.