Answer:
Model-Driven DSS
Explanation:
Model-Driven DSS emphasizes direct exposure and manipulation of a model like optimization, statistical, simulation models and financial model.
Model-driven DSS uses data and variables obtained by policy-makers to help decision-makers to analyze a situation. However, they are generally not data-intensive, which is normally a very massive database which is not required for model-driven DSS.
