Risk assessment method of radio block center in fuzzy uncertain environment

Abstract

In this paper, a risk assessment method of radio block center (RBC) for train control based on fuzzy multi-criteria decision-making theory is proposed. By a thorough study of the system risk assessment problem of RBC including Fault Mode and Effects Analysis (FMEA) in fuzzy uncertain environment, in the proposed method, 4 indices including occurrence possibility, severity, detectability and maintainability are chosen for risk assessment and then fuzzificated by triangular fuzzy number, their weights are calibrated respectively to show their relative importance by information entropy weight method; and the final risk assessment result is acquired by sorting the fault mode employing the fuzzy multi-criteria decision-making theory. An application case is studied in this paper to verify the effectiveness and feasibility of the proposed method, and the assessment process and result indicates its convenience for application and its suitableness for popularization. © Springer-Verlag Berlin Heidelberg 2012.