Oct 11, 2024
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Recognizing the various types of Decision Support Systems helps delineate their operational utilities. Data-driven DSS are centered around empirical data analysis, making them invaluable for data-centric environments. Conversely, model-driven DSS apply robust mathematical frameworks to navigate complex decision landscapes. Knowledge-driven systems harness expert insights and are increasingly enhanced by artificial intelligence capabilities. Document-driven systems facilitate decisions by incorporating diverse unstructured data sources, enabling a holistic view of information that often aids in nuanced decision-making.
Parichehr Esmaeilian