Model-Driven DSS

A category or type of decision support system that emphasizes access to and manipulation of a quantitative model, especially algebraic, financial, optimization or simulation models. In general, Model-Driven DSS use mathematical models to provide decision support. Model-Driven DSS use data and model parameters provided by a decision maker to analyze a situation, but they are not usually data intensive, that is very large data bases are usually not needed for Model-Driven DSS. Model-driven DSS usually provide "What If?" and Sensitivity Analysis. Model-Driven DSS have also been called model oriented DSS by Alter (1980) and computationally oriented DSS by Bonczek, Holsapple and Whinston (1981).

Related Terms: Sensitivity Analysi, What-If Analysis

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