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Human Reliability Analysis by Fuzzy “CREAM”
Author(s) -
Marseguerra Marzio,
Zio Enrico,
Librizzi Massimo
Publication year - 2007
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.2006.00865.x
Subject(s) - human reliability , reliability (semiconductor) , ambiguity , reliability engineering , fuzzy logic , human error , action (physics) , point (geometry) , computer science , operator (biology) , risk analysis (engineering) , data mining , artificial intelligence , machine learning , mathematics , engineering , medicine , power (physics) , biochemistry , physics , geometry , chemistry , repressor , quantum mechanics , transcription factor , gene , programming language
This article proposes a systematic procedure for computing probabilities of operator action failure in the cognitive reliability and error analysis method (CREAM). The starting point for the quantification is a previously introduced fuzzy version of the CREAM paradigm that is here further extended to account for: (1) the ambiguity in the qualification of the conditions under which the action is performed (common performance conditions, CPCs) and (2) the fact that the effects of such conditions on human performance reliability may not all be equal.