[HTML][HTML] A review of applications of fuzzy sets to safety and reliability engineering
Safety and reliability are rigorously assessed during the design of dependable systems.
Probabilistic risk assessment (PRA) processes are comprehensive, structured and logical …
Probabilistic risk assessment (PRA) processes are comprehensive, structured and logical …
Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy
F **ao - Information Fusion, 2019 - Elsevier
Multi-sensor data fusion technology plays an important role in real applications. Because of
the flexibility and effectiveness in modeling and processing the uncertain information …
the flexibility and effectiveness in modeling and processing the uncertain information …
EFMCDM: Evidential fuzzy multicriteria decision making based on belief entropy
F **ao - IEEE Transactions on Fuzzy Systems, 2019 - ieeexplore.ieee.org
Multicriteria decision making (MCDM) has become one of the most frequently applied
decision making methodologies in various fields. However, uncertainty is inevitably involved …
decision making methodologies in various fields. However, uncertainty is inevitably involved …
An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks
This paper aims to develop a novel model to assess the risk factors of maritime supply
chains by incorporating a fuzzy belief rule approach with Bayesian networks. The new …
chains by incorporating a fuzzy belief rule approach with Bayesian networks. The new …
Integration of failure mode, effects, and criticality analysis with multi-criteria decision-making in engineering applications: Part I–Manufacturing industry
Engineering industry is characterised by a high presence of risks with varying degrees of
criticality, which prompts taking appropriate actions to mitigate their impact. The failure …
criticality, which prompts taking appropriate actions to mitigate their impact. The failure …
Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method
Failure mode and effect analysis (FMEA) has been widely adopted to define, identity, and
remove potential and recognized hazards. As an indicator in traditional FMEA, the risk …
remove potential and recognized hazards. As an indicator in traditional FMEA, the risk …
A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method
HC Liu, JX You, XY You, MM Shan - Applied soft computing, 2015 - Elsevier
Failure mode and effects analysis (FMEA) is one of the most popular reliability analysis tools
for identifying, assessing and eliminating potential failure modes in a wide range of …
for identifying, assessing and eliminating potential failure modes in a wide range of …
Large-group failure mode and effects analysis for risk management of angle grinders in the construction industry
Accidents associated with the use of construction equipment are among the leading causes
of fatal injuries in the construction industry. In particular, angle grinders are associated with a …
of fatal injuries in the construction industry. In particular, angle grinders are associated with a …
[HTML][HTML] A correlation coefficient for belief functions
W Jiang - International Journal of Approximate Reasoning, 2018 - Elsevier
How to manage conflict is still an open issue in Dempster–Shafer (DS) evidence theory. The
conflict coefficient k in DS evidence theory cannot represent conflict reasonably, especially …
conflict coefficient k in DS evidence theory cannot represent conflict reasonably, especially …
Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model
In order to reduce risks of failure, industries use a methodology called Failure Mode and
Effects Analysis (FMEA) in terms of the Risk Priority Number (RPN). The RPN number is a …
Effects Analysis (FMEA) in terms of the Risk Priority Number (RPN). The RPN number is a …