Optimizing natural gas pipeline risk assessment using hybrid fuzzy bayesian networks and expert elicitation for effective decision-making strategies-Reference-Cited by-同舟云学术

Optimizing natural gas pipeline risk assessment using hybrid fuzzy bayesian networks and expert elicitation for effective decision-making strategies

Published:2024-05 Issue: Volume:125 Page:205283
ISSN:2949-9089
Container-title:Gas Science and Engineering
language:en
Short-container-title:Gas Science and Engineering

Author:

Mahmood Yasir^ORCID,Chen Jessica,Yodo Nita,Huang Ying

Funder

US Department of Transportation

NSF

Publisher

Elsevier BV

Reference62 articles.

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3. A BN-based risk assessment model of natural gas pipelines integrating knowledge graph and DEMATEL;Bai;Process Saf. Environ. Protect.,2023

4. BayesFusion, L., 2023. Available from BayesFusion artificial intelligence modeling and machine learning software. https://www.bayesfusion.com/contact/. 1, 1-3.

5. Informing the management of multiple stressors on estuarine ecosystems using an expert-based Bayesian Network model;Bulmer;J. Environ. Manag.,2022

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