A Fuzzy System for the Assessment of Human Reliability

Abstract

This work presents a methodology for the characterization of human reliability based on fuzzy sets concepts, which has been implemented in an innovative decision support system, providing managers with an intelligent computational tool for reducing the possibility of human errors in industrial activities. Considering that such activities can be described as operational, maintenance or inspection processes, which are composed of a set of procedures, the methodology is carried out in two levels: the process level and the procedure level. The proposed system provides a human reliability index, which allows the identification of problems that may constitute causes of human errors, as well as the indication of possible strategies for the control of potentially adverse impacts of

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