Developing Decision Support Systems (DSS) is a difficult task, prone to errors and susceptible to colossal failures. In order to alleviate this difficulty and its consequences, we propose a framework for organizing the space of decision problems based on problem characteristics. This organization classifies decision problems into classes that exhibit intra-class similarity. We show how classifying a new decision problem into one of the existing classes, provides assistance in designing the DSS for the new problem. The classification could be based simply on problem characteristics or on the structure of the problem-solution relationships. We further show that a DSS whose goal is to support the development of DSS can be developed with the assistance of related DSS.
Aside from the
theoretical framework, we developed several DSSs for
different applications:
Last
modified: 5/17/2005 4:40:00 AM