Home ›
Entities
› academia
› An Intelligent Site Selection Model for Hydrogen Refueling Stations Based on Fuzzy Comprehensive Evaluation and Artificial Neural Network—A Case Study of Shanghai
An Intelligent Site Selection Model for Hydrogen Refueling Stations Based on Fuzzy Comprehensive Evaluation and Artificial Neural Network—A Case Study of Shanghai
Research article (Energies, 2022) · cited 23× · AI/ML
An Intelligent Site Selection Model for Hydrogen Refueling Stations Based on Fuzzy Comprehensive Evaluation and Artificial Neural Network—A Case Study of Shanghai
Summary
An Intelligent Site Selection Model for Hydrogen Refueling Stations Based on Fuzzy Comprehensive Evaluation and Artificial Neural Network—A Case Study of Shanghai is a scholarly article[1].
Key Facts
An Intelligent Site Selection Model for Hydrogen Refueling Stations Based on Fuzzy Comprehensive Evaluation and Artificial Neural Network—A Case Study of Shanghai's A Case Study of Shanghai — instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). An Intelligent Site Selection Model for Hydrogen Refueling Stations Based on Fuzzy Comprehensive Evaluation and Artificial Neural Network—A Case Study of Shanghai. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-intelligent-site-selection-model-for-hydrogen-refueling-stations-based-on-fuzzy-comprehensive-evaluation-and-artifici
MLA“An Intelligent Site Selection Model for Hydrogen Refueling Stations Based on Fuzzy Comprehensive Evaluation and Artificial Neural Network—A Case Study of Shanghai.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-intelligent-site-selection-model-for-hydrogen-refueling-stations-based-on-fuzzy-comprehensive-evaluation-and-artifici.
BibTeX@misc{4ortxyz_an-intelligent-site-selection-model-for-hydrogen-refueling-stations-based-on-fuzzy-comprehensive-evaluation-and-artifici_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Intelligent Site Selection Model for Hydrogen Refueling Stations Based on Fuzzy Comprehensive Evaluation and Artificial Neural Network—A Case Study of Shanghai}}, year = {2026}, url = {https://4ort.xyz/entity/an-intelligent-site-selection-model-for-hydrogen-refueling-stations-based-on-fuzzy-comprehensive-evaluation-and-artifici}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Intelligent Site Selection Model for Hydrogen Refueling Stations Based on Fuzzy Comprehensive Evaluation and Artificial Neural Network—A Case Study of Shanghai — https://4ort.xyz/entity/an-intelligent-site-selection-model-for-hydrogen-refueling-stations-based-on-fuzzy-comprehensive-evaluation-and-artifici (retrieved 2026-05-24)
