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