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| Главный автор: | |
|---|---|
| Формат: | Recurso digital |
| Язык: | английский |
| Опубликовано: |
Zenodo
2026
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| Предметы: | |
| Online-ссылка: | https://doi.org/10.5281/zenodo.18711533 |
| Метки: |
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Оглавление:
- <p>This dataset supports the systematic review titled "Artificial Intelligence in Decision Support Systems: A Systematic Review of Methods, Applications, and Implementation Gaps" (manuscript under review).</p> <p>The dataset includes 87 peer-reviewed studies published between 2015 and 2025, selected from 452 records across Scopus, Web of Science, IEEE Xplore, and ACM Digital Library following PRISMA 2020 guidelines.</p> <p>For each study, the following information is provided:<br>- Bibliographic information (authors, year, title, journal, DOI)<br>- AI Method Category (Machine Learning, Hybrid Approaches, Expert Systems, or Fuzzy Logic)<br>- AI Method Specific (specific algorithm or technique used)<br>- Application Domain (Healthcare, Finance, Supply Chain, Business Intelligence, Engineering, Public Sector, Energy, Agriculture, Education, Transportation)<br>- Implementation Status (Operational, Prototype, or Simulation)<br>- XAI Included (Yes/No)<br>- Fairness Addressed (Yes/No)<br>- Data Quality (High/Medium/Low)<br>- Reported Accuracy (numerical value)<br>- Interpretability Level (Low, Low-Moderate, Moderate, Moderate-High, High, Very High)</p> <p>This dataset is made available under the Creative Commons Attribution 4.0 International license (CC BY 4.0).</p>