Fuzzy modeling of system behavior for risk and reliability analysis
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Publication:5402745
DOI10.1080/00207720701717708zbMath1283.93192OpenAlexW1977418947MaRDI QIDQ5402745
Raj Kumar Sharma, Pradeep Kumar, Dinesh Kumar
Publication date: 17 March 2014
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207720701717708
Reliability, availability, maintenance, inspection in operations research (90B25) Discrete event control/observation systems (93C65)
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Fuzzy failure mode and effect analysis application to reduce risk level in a ready-mixed concrete plant: a fuzzy rule based system modelling approach ⋮ The uncertainty recovery analysis for interdependent infrastructure systems using the dynamic inoperability input–output model ⋮ Fault detection in non-linear systems based on type-2 fuzzy logic ⋮ Structural Reliability Analysis with Inverse Credibility Distributions
Cites Work
- Ranking fuzzy numbers with maximizing set and minimizing set
- The concept of a linguistic variable and its application to approximate reasoning. II
- FM – a pragmatic tool to model, analyse and predict complex behaviour of industrial systems
- Invited paper Perspectives and challenges for research in quality and reliability engineering
- Architecture-based approach to reliability assessment of software systems
- A computer‐based intelligent system for fault diagnosis of an aircraft engine
- Quality costing in process industries through QCAS: a practical case
- A fuzzy scheme for failure mode screening
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