Home ›
Entities
› academia
› Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model
Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model
Research article (Neural Computing and Applications, 2024) · cited 10× · AI/ML
Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model
Summary
Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model is a scholarly article[1].
Key Facts
Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model's 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). Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluation-and-benchmarking-of-hybrid-machine-learning-models-for-autism-spectrum-disorder-diagnosis-using-a-2-tuple-lin
MLA“Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluation-and-benchmarking-of-hybrid-machine-learning-models-for-autism-spectrum-disorder-diagnosis-using-a-2-tuple-lin.
BibTeX@misc{4ortxyz_evaluation-and-benchmarking-of-hybrid-machine-learning-models-for-autism-spectrum-disorder-diagnosis-using-a-2-tuple-lin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model}}, year = {2026}, url = {https://4ort.xyz/entity/evaluation-and-benchmarking-of-hybrid-machine-learning-models-for-autism-spectrum-disorder-diagnosis-using-a-2-tuple-lin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model — https://4ort.xyz/entity/evaluation-and-benchmarking-of-hybrid-machine-learning-models-for-autism-spectrum-disorder-diagnosis-using-a-2-tuple-lin (retrieved 2026-05-24)
