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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM45941
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This study explores the Decision Support Systems (DSS) which have been used to aid decision-makers in analyzing complex data, evaluating alternatives, and making informed choices. With the rapid advancement of Artificial Intelligence (AI), DSS have evolved significantly, integrating intelligent algorithms, machine learning models, and automation to enhance decision-making accuracy and efficiency. This study examines the transformative impact of AI on DSS, exploring how AI technologies such as predictive analytics, natural language processing (NLP), deep learning, and expert systems contribute to improved decision-making processes across various industries. The research focuses on key areas where AI-driven DSS provide a competitive advantage, including data-driven decision-making, real-time analytics, risk assessment, and process optimization.
KEYWORDS
Publication Date
4/26/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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