Managerial decision support system using an integrated model of AI and big data analytics
ANNALS OF OPERATIONS RESEARCH(2023)
Abstract
Artificial intelligence (AI) has progressed to the point that it is now integrated into real-world decision support systems and significantly impacts decision-making in management. It is used in a range of areas, including computer science and information technology. This research presents the Integrated Multi-Criteria Decision-Making Model (IMCDMM). Deep algorithms are used to make multi-criteria derivations. This paper focuses on a subset of the components that come together to form an integrated decision-making model that incorporates big data, business intelligence, and decision support systems for organizational learning to deliver the decision-maker with a consistent visualization of decision-related opportunities. The proposed research can provide a comprehensive literature analysis demonstrating how deep learning algorithms and multi-criteria decision-making techniques can be applied to handle significant managerial data problems. Besides, this study discovers by merging multiple criteria with deep learning technologies to construct a decision-support system for big data processing. The proposed IMCDMM framework achieve an acceptability ratio of 92.4%, a performance ratio of 94.5%, an efficiency ratio of 95.5%, a satisfactory user level of 91.8%, a prediction ratio of 93.7%, a decision-making level of 91.5%, and the precision ratio of 92.5% when compared to other methods.
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Key words
Artificial intelligence, Decision-making model, Multi-criteria, Big data analytics, Business intelligence
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