Minimax Optimization In Business Intelligence Systems For Financial Decision-Making Under Economic Uncertainty

Authors

  • Luis Andrés Meza Ordoñez, Heidy Yajayra Alvarado González, Jesús Daniel Santos R, Favio Gabriel Tapia Robles Author

Keywords:

Business Intelligence; Minimax optimization; Financial decision-making; Economic uncertainty; Robust optimization; Prescriptive analytics

Abstract

 In highly volatile economic environments, financial decision-making based on average or expected outcomes becomes increasingly fragile. Business Intelligence (BI) systems, while effective for descriptive and predictive analytics, often lack robust mechanisms to support decision-making under deep economic uncertainty. This study proposes and validates a minimax optimization framework integrated into Business Intelligence systems to enhance financial decision-making robustness under adverse economic scenarios

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Published

2026-01-18

How to Cite

Minimax Optimization In Business Intelligence Systems For Financial Decision-Making Under Economic Uncertainty. (2026). Minimax Theory and Its Applications, 11(1), 1-17. https://journalmta.com/index.php/jmta/article/view/223