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Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange
Research article (Physica A Statistical Mechanics and its Applications, 2017) · cited 106× · AI/ML
Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange
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Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange is a scholarly article[1].
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Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-dynamic-fuzzy-c-means-data-envelopment-analysis-and-artificial-neural-network-to-online-prediction-performan
MLA“Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-dynamic-fuzzy-c-means-data-envelopment-analysis-and-artificial-neural-network-to-online-prediction-performan.
BibTeX@misc{4ortxyz_integrating-dynamic-fuzzy-c-means-data-envelopment-analysis-and-artificial-neural-network-to-online-prediction-performan_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-dynamic-fuzzy-c-means-data-envelopment-analysis-and-artificial-neural-network-to-online-prediction-performan}, note = {Accessed: 2026-05-24}}
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