This paper presents a methodology for developing a Fuzzy Expert System to evaluate dependence between two human failure events in human reliability analysis. A working model of dependence is used to show the methodology. The main assets of the use of Fuzzy Expert System are the traceability, the transparency and repeatability given to the dependence evaluation process. Expert knowledge is elicited to identify the main influencing factors with respect to the dependence between two successive tasks. Then, the relationship of the input factors and the conditional human error probability is established through a set of transparent fuzzy logic rules. A case study is presented to demonstrate the proposed approach.

A Fuzzy Logic Model for Taking Into Account Tasks Dependencies in Human Reliability Analysis

BARALDI, PIERO;LIBRIZZI, MASSIMO;ZIO, ENRICO
2007-01-01

Abstract

This paper presents a methodology for developing a Fuzzy Expert System to evaluate dependence between two human failure events in human reliability analysis. A working model of dependence is used to show the methodology. The main assets of the use of Fuzzy Expert System are the traceability, the transparency and repeatability given to the dependence evaluation process. Expert knowledge is elicited to identify the main influencing factors with respect to the dependence between two successive tasks. Then, the relationship of the input factors and the conditional human error probability is established through a set of transparent fuzzy logic rules. A case study is presented to demonstrate the proposed approach.
2007
RISK, RELIABILITY AND SOCIETAL SAFETY, VOLS 1-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/252544
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