• Dr.SAVITA MISHRA

Abstract:This research explores the role of Artificial Intelligence(AI) in enhancing decision-making quality, efficiency, and accuracy.AI made especially large strides in recent years, as machine-learning algorithms have become more sophisticated and made use of huge increases in computing power and of the exponential growth in data available to train them.The integration of Artificial Intelligence (AI) into decision-making processes is transforming the way organizations operate across various industries. The study examines both the benefits and challenges associated with AI-driven decision-making multi-level programming problem (MLPP) multi-objective decision making (MODM) mathematical models. AI-based MLPPs solvers can be implemented using: TensorFlow For building deep learning models. By integrating AI techniques, multi-level can be applied more effectively in real-world decision-making, from finance to logistics, evaluate the effectiveness Hybrid Approaches: AI + Traditional MLPP Methods. The article provides concrete examples of how AI is transforming decision making in various fields.

Keywords: AI-driven decision-making, multi-level programming problem (MLPP), multi-objective decision making (MODM) mathematical models, compromise solution, satisfactory solution.

"Artificial Intelligence for Multi-Level Decision Making Mathematical Models in the Era of Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.c95-c99, October-2025, Available :http://www.jetir.org/papers/JETIR2510215.pdf

"Artificial Intelligence for Multi-Level Decision Making Mathematical Models in the Era of Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppc95-c99, October-2025, Available at : http://www.jetir.org/papers/JETIR2510215.pdf