This article proposes a conceptual approach to optimizing decision-making processes in Business Intelligence systems based on the Pareto-optimal approach and the concept of self-adaptive agents. Business Intelligence systems enable modern organizations to process and analyze large volumes of data and automate strategic decision-making processes. However, traditional approaches often have limitations in enhancing decision-making efficiency.To address this issue, the article presents a new model developed based on multi-agent systems. In the proposed model, self-adaptive agents formulate Pareto-optimal decisions by collecting, processing, and analyzing data in real-time. This approach increases the adaptability of Business Intelligence systems and allows for the selection of the most optimal decisions considering various factors.The article provides a detailed analysis of the role of self-adaptive agents, their functional capabilities, and the advantages of the Pareto-optimal approach. Based on experimental results, the effectiveness of the proposed model is evaluated, highlighting its advantages over traditional Business Intelligence systems.The research results indicate that the Pareto-optimal approach based on self-adaptive agents plays a crucial role in improving the speed, accuracy, and adaptability of decision-making in Business Intelligence systems. Therefore, this model can be considered a promising solution for more efficient and intelligent management of Business Intelligence systems.
| Mualliflar | Eshankulov, H.I., Murodova, R.B. |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashriyot | ТАТУ Самарқанд филиали |
| ISSN | 2181-3086, 2181-3094 |
| Nashr sanasi | 2025-04-06 |
| Jild | 8 |
| Son | 1 |
| Betlar | 114-121 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| DOI | 10.62132/ijdt.v8i1.239 |
| Indeksga qo‘shilgan | 2026-08-26 |
DOI: 10.62132/ijdt.v8i1.239 · Maqolaning asl sahifasi
BI tizimlari, ko‘p agentli tizimlar, moslashtiruvchi agentlar, Pareto-optimal qarorlar, ko‘p mezonli qarorlar, ma’lumot tahlili, Business Intelligence systems, multi-agent systems, self-adaptive agents, Pareto-optimal decisions, multi-criteria decision-making, data analysis
| APA | Eshankulov, H.I., & Murodova, R.B. (2025). Self-adaptive agent model for Pareto-optimal decision-making in business intelligence systems. Рақамли технологияларнинг назарий ва амалий масалалари, 8(1), 114-121. https://doi.org/10.62132/ijdt.v8i1.239 |
|---|---|
| GOST (OAK) | Eshankulov, H.I., Murodova, R.B. Self-adaptive agent model for Pareto-optimal decision-making in business intelligence systems // Рақамли технологияларнинг назарий ва амалий масалалари. – 2025. – T. 8, № 1. – P. 114-121. – DOI: 10.62132/ijdt.v8i1.239. |
| MLA | Eshankulov, H.I., and Murodova, R.B. “Self-adaptive agent model for Pareto-optimal decision-making in business intelligence systems.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(1), 114-121, 2025. https://doi.org/10.62132/ijdt.v8i1.239 |
| Chicago | Eshankulov, H.I., and Murodova, R.B. “Self-adaptive agent model for Pareto-optimal decision-making in business intelligence systems.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(1), 114-121 (2025). https://doi.org/10.62132/ijdt.v8i1.239 |
| Harvard | Eshankulov, H.I., and Murodova, R.B (2025) ‘Self-adaptive agent model for Pareto-optimal decision-making in business intelligence systems’, Рақамли технологияларнинг назарий ва амалий масалалари, 8(1), 114-121. https://doi.org/10.62132/ijdt.v8i1.239 |
| BibTeX | @article{eshankulovhi2025,
title = {Self-adaptive agent model for Pareto-optimal decision-making in business intelligence systems},
author = {Eshankulov, H.I. and Murodova, R.B.},
journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
year = {2025},
volume = {8},
number = {1},
pages = {114-121},
doi = {10.62132/ijdt.v8i1.239},
url = {https://doi.org/10.62132/ijdt.v8i1.239}
} |
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