Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Human reliability analysis by fuzzy "CREAM".

Marzio Marseguerra1, Enrico Zio, Massimo Librizzi

  • 1Department of Nuclear Engineering, Polytechnic of Milan, Via Ponzio 34/3, Milano 20133, Italy.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|March 17, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Event-Triggered Multiple Leaders Formation Tracking for Networked Swarm System With Resilience to Noncooperative Nodes.

IEEE transactions on cybernetics·2025
Same author

A framework for resilience assessment of transportation networks exposed to geohazard threats.

Risk analysis : an official publication of the Society for Risk Analysis·2025
Same author

A modelling framework to analyze climate change effects on radionuclide aquifer contamination.

Journal of contaminant hydrology·2024
Same author

Multi-Fractal Weibull Adaptive Model for the Remaining Useful Life Prediction of Electric Vehicle Lithium Batteries.

Entropy (Basel, Switzerland)·2023
Same author

An Adaptive Sampling Framework for Life Cycle Degradation Monitoring.

Sensors (Basel, Switzerland)·2023
Same author

An optimization model for planning testing and control strategies to limit the spread of a pandemic - The case of COVID-19.

European journal of operational research·2021

This study refines the Cognitive Reliability and Error Analysis Method (CREAM) for calculating operator action failure probabilities. It enhances the fuzzy CREAM model to better handle ambiguous performance conditions and their varied impacts on reliability.

Area of Science:

  • Human Factors Engineering
  • Risk Analysis
  • Cognitive Psychology

Background:

  • The Cognitive Reliability and Error Analysis Method (CREAM) is a key framework for assessing human reliability in complex systems.
  • Existing fuzzy logic applications in CREAM offer flexibility but require further refinement for practical application.
  • Quantifying operator error probabilities is crucial for safety-critical systems.

Purpose of the Study:

  • To develop a systematic procedure for computing operator action failure probabilities using an enhanced fuzzy CREAM.
  • To extend the fuzzy CREAM paradigm to address the ambiguity of common performance conditions (CPCs).
  • To incorporate the differential impact of CPCs on human performance reliability.

Main Methods:

  • Systematic procedure development for probability computation.

Related Experiment Videos

  • Extension of a previously introduced fuzzy CREAM paradigm.
  • Accounting for ambiguity in common performance conditions (CPCs).
  • Modeling unequal effects of CPCs on human reliability.

    • Main Results:

    • A refined methodology for quantifying operator failure probabilities within CREAM.
    • Improved handling of uncertain environmental and situational factors (CPCs).
    • A more nuanced assessment of how performance conditions influence reliability.

    Conclusions:

    • The enhanced fuzzy CREAM provides a more robust framework for human reliability analysis.
    • The procedure offers improved accuracy in predicting operator action failure.
    • This work contributes to enhanced safety and risk management in operational environments.