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Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno–Weber triangular norms in a dual hesitant q-rung orthopair fuzzy context
Research article (Engineering Applications of Artificial Intelligence, 2024) · cited 39× · AI/ML
Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno–Weber triangular norms in a dual hesitant q-rung orthopair fuzzy context
Summary
Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno–Weber triangular norms in a dual hesitant q-rung orthopair fuzzy context is a scholarly article[1].
Key Facts
Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno–Weber triangular norms in a dual hesitant q-rung orthopair fuzzy context's instance of is recorded as scholarly article[2].
References
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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). Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno–Weber triangular norms in a dual hesitant q-rung orthopair fuzzy context. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-healthcare-supply-chain-management-through-artificial-intelligence-driven-group-decision-making-with-sugenoweb
MLA“Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno–Weber triangular norms in a dual hesitant q-rung orthopair fuzzy context.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-healthcare-supply-chain-management-through-artificial-intelligence-driven-group-decision-making-with-sugenoweb.
BibTeX@misc{4ortxyz_enhancing-healthcare-supply-chain-management-through-artificial-intelligence-driven-group-decision-making-with-sugenoweb_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno–Weber triangular norms in a dual hesitant q-rung orthopair fuzzy context}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-healthcare-supply-chain-management-through-artificial-intelligence-driven-group-decision-making-with-sugenoweb}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno–Weber triangular norms in a dual hesitant q-rung orthopair fuzzy context — https://4ort.xyz/entity/enhancing-healthcare-supply-chain-management-through-artificial-intelligence-driven-group-decision-making-with-sugenoweb (retrieved 2026-05-24)
