Identifying influential airports in airline network based on failure risk factors with TOPSIS

Research article (Chaos Solitons & Fractals, 2023) · cited 12× · AI/ML
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Identifying influential airports in airline network based on failure risk factors with TOPSIS

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Identifying influential airports in airline network based on failure risk factors with TOPSIS is a scholarly article[1].

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  • Identifying influential airports in airline network based on failure risk factors with TOPSIS's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Identifying influential airports in airline network based on failure risk factors with TOPSIS. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-influential-airports-in-airline-network-based-on-failure-risk-factors-with-topsis
MLA “Identifying influential airports in airline network based on failure risk factors with TOPSIS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-influential-airports-in-airline-network-based-on-failure-risk-factors-with-topsis.
BibTeX @misc{4ortxyz_identifying-influential-airports-in-airline-network-based-on-failure-risk-factors-with-topsis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying influential airports in airline network based on failure risk factors with TOPSIS}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-influential-airports-in-airline-network-based-on-failure-risk-factors-with-topsis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying influential airports in airline network based on failure risk factors with TOPSIS — https://4ort.xyz/entity/identifying-influential-airports-in-airline-network-based-on-failure-risk-factors-with-topsis (retrieved 2026-05-24)

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