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Failure risk assessment by multi-state dynamic Bayesian network based on interval type-2 fuzzy sets and leaky-weighted sum algorithm: A case study of crude oil pipelines
Research article (Expert Systems with Applications, 2024) · cited 15× · AI/ML
Failure risk assessment by multi-state dynamic Bayesian network based on interval type-2 fuzzy sets and leaky-weighted sum algorithm: A case study of crude oil pipelines
Summary
Failure risk assessment by multi-state dynamic Bayesian network based on interval type-2 fuzzy sets and leaky-weighted sum algorithm: A case study of crude oil pipelines is a scholarly article[1].
Key Facts
Failure risk assessment by multi-state dynamic Bayesian network based on interval type-2 fuzzy sets and leaky-weighted sum algorithm: A case study of crude oil pipelines's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Failure risk assessment by multi-state dynamic Bayesian network based on interval type-2 fuzzy sets and leaky-weighted sum algorithm: A case study of crude oil pipelines. Retrieved May 24, 2026, from https://4ort.xyz/entity/failure-risk-assessment-by-multi-state-dynamic-bayesian-network-based-on-interval-type-2-fuzzy-sets-and-leaky-weighted-s
MLA“Failure risk assessment by multi-state dynamic Bayesian network based on interval type-2 fuzzy sets and leaky-weighted sum algorithm: A case study of crude oil pipelines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/failure-risk-assessment-by-multi-state-dynamic-bayesian-network-based-on-interval-type-2-fuzzy-sets-and-leaky-weighted-s.
BibTeX@misc{4ortxyz_failure-risk-assessment-by-multi-state-dynamic-bayesian-network-based-on-interval-type-2-fuzzy-sets-and-leaky-weighted-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Failure risk assessment by multi-state dynamic Bayesian network based on interval type-2 fuzzy sets and leaky-weighted sum algorithm: A case study of crude oil pipelines}}, year = {2026}, url = {https://4ort.xyz/entity/failure-risk-assessment-by-multi-state-dynamic-bayesian-network-based-on-interval-type-2-fuzzy-sets-and-leaky-weighted-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Failure risk assessment by multi-state dynamic Bayesian network based on interval type-2 fuzzy sets and leaky-weighted sum algorithm: A case study of crude oil pipelines — https://4ort.xyz/entity/failure-risk-assessment-by-multi-state-dynamic-bayesian-network-based-on-interval-type-2-fuzzy-sets-and-leaky-weighted-s (retrieved 2026-05-24)
