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A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: An empirical study in Shanghai, China
A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: An empirical study in Shanghai, China
Summary
A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: An empirical study in Shanghai, China is a scholarly article[1].
Key Facts
A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: An empirical study in Shanghai, China's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: An empirical study in Shanghai, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-belief-rule-based-bayesian-network-approach-for-assessing-risks-in-the-cruise-supply-chain-an-empirical-study-in-shang
MLA“A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: An empirical study in Shanghai, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-belief-rule-based-bayesian-network-approach-for-assessing-risks-in-the-cruise-supply-chain-an-empirical-study-in-shang.
BibTeX@misc{4ortxyz_a-belief-rule-based-bayesian-network-approach-for-assessing-risks-in-the-cruise-supply-chain-an-empirical-study-in-shang_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: An empirical study in Shanghai, China}}, year = {2026}, url = {https://4ort.xyz/entity/a-belief-rule-based-bayesian-network-approach-for-assessing-risks-in-the-cruise-supply-chain-an-empirical-study-in-shang}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: An empirical study in Shanghai, China — https://4ort.xyz/entity/a-belief-rule-based-bayesian-network-approach-for-assessing-risks-in-the-cruise-supply-chain-an-empirical-study-in-shang (retrieved 2026-05-24)
