Book Contents

Ch. 9
Building Model-Driven Decision Support Systems

Chapter Contents
Previous Page
Next Page

A DSS with Multiple Model Types

As noted, a Model-Driven DSS may include more than one of the above types of models. For example, a specific Model-Driven DSS may include:

  1. An explanatory regression model that identifies relationships among variables,
  2. A contemplative financial model of a pro forma income statement, and
  3. An algebraic optimization model like linear programming.

Some models are standard components in DSS development packages and some must be custom programmed. A DSS builder chooses appropriate models. Once models have been chosen, then a decision must be made to build the models, to use "ready-made" models, or to modify existing models. The software used for creating the model component also needs to be linked to any data and the DSS user interface. Also, a DSS analyst needs to choose to use either static or dynamic models, and to choose if the situation will be modeled assuming certainty, uncertainty, or risk.


DSSResources.COMsm is maintained and all its pages are copyrighted (c) 1995-2002 by D. J. Power (see home page). Please contact This page was last modified Wednesday, May 30, 2007. See disclaimer and privacy statement.