Applying Fuzzy Set in Elevator Safety Management Evaluation Method

Abstract

In order to solve low accuracy, human effects and complexity in elevator safety management evaluation, a method based on machine learning was proposed. The method adopts safety checklist to collect data of elevator safety related conditions, comprehensively considering the importance and influence of every factor, which influences the safety on the basis of the safety checklist analysis and fuzzy set. To complete the process of the risk assessment and evaluation, we use machine learning combined with maintenance knowledge of evaluation, which provide users with comprehensive and effective corrective measures and suggestions. Applications show that the method can find potential leak of elevator system management.