Fuzzy Human Reliability Analysis: Applications and Contributions Review

Author:

Baziuk P. A.1,Rivera S. S.2,Núñez Mc Leod J.1

Affiliation:

1. CONICET and National University of Cuyo, 5500 Mendoza, Argentina

2. National University of Cuyo, 5500 Mendoza, Argentina

Abstract

The applications and contributions of fuzzy set theory to human reliability analysis (HRA) are reassessed. The main contribution of fuzzy mathematics relies on its ability to represent vague information. Many HRA authors have made contributions developing new models, introducing fuzzy quantification methodologies. Conversely, others have drawn on fuzzy techniques or methodologies for quantifying already existing models. Fuzzy contributions improve HRA in five main aspects: (1) uncertainty treatment, (2) expert judgment data treatment, (3) fuzzy fault trees, (4) performance shaping factors, and (5) human behaviour model. Finally, recent fuzzy applications and new trends in fuzzy HRA are herein discussed.

Funder

Consejo Nacional de Investigaciones Científicas y Técnicas

Publisher

Hindawi Limited

Subject

Computational Mathematics,Control and Optimization,Control and Systems Engineering

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