Uncertainty quantification in dynamic system risk assessment: a new approach with randomness and fuzzy theory

International Journal of Production Research

Volumn 54, Issue 19, 2016, Pages 5862-5885

  Abdo, Houssein ^a   Flaus, Jean Marie ^a  

^a UNIV GRENOBLE ALPES   (France)

Author keywords

fuzzy logic; Monte Carlo method; propylene oxide polymerisation reactor; randomness; risk analysis; uncertainty

Indexed keywords

COMPUTER CIRCUITS; DECISION MAKING; FUZZY LOGIC; FUZZY SET THEORY; HEALTH RISKS; INDUSTRIAL PLANTS; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; POLYMERIZATION; PROPYLENE; RANDOM PROCESSES; RECONFIGURABLE HARDWARE; RISK ANALYSIS; RISK ASSESSMENT; RISK MANAGEMENT; RISK PERCEPTION; STOCHASTIC SYSTEMS;

EPISTEMIC UNCERTAINTIES; FUZZY LOGIC MODEL; FUZZY LOGIC SYSTEM; PROPYLENE OXIDE; RANDOMNESS; SYSTEM RISK ASSESSMENT; UNCERTAINTY; UNCERTAINTY QUANTIFICATIONS;

UNCERTAINTY ANALYSIS;

EID: 84966862578     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2016.1184348     Document Type: Article

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