Integrating inverse data envelopment analysis and neural network to preserve relative efficiency values

Research article (Journal of Intelligent & Fuzzy Systems, 2016) · cited 14× · AI/ML
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Integrating inverse data envelopment analysis and neural network to preserve relative efficiency values

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Integrating inverse data envelopment analysis and neural network to preserve relative efficiency values is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Integrating inverse data envelopment analysis and neural network to preserve relative efficiency values. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-inverse-data-envelopment-analysis-and-neural-network-to-preserve-relative-efficiency-values
MLA “Integrating inverse data envelopment analysis and neural network to preserve relative efficiency values.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-inverse-data-envelopment-analysis-and-neural-network-to-preserve-relative-efficiency-values.
BibTeX @misc{4ortxyz_integrating-inverse-data-envelopment-analysis-and-neural-network-to-preserve-relative-efficiency-values_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating inverse data envelopment analysis and neural network to preserve relative efficiency values}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-inverse-data-envelopment-analysis-and-neural-network-to-preserve-relative-efficiency-values}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integrating inverse data envelopment analysis and neural network to preserve relative efficiency values — https://4ort.xyz/entity/integrating-inverse-data-envelopment-analysis-and-neural-network-to-preserve-relative-efficiency-values (retrieved 2026-05-24)

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