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Model Composition Using Filter Spaces

Information Systems/Decision Sciences, College of Business Administration, University of South Florida, 4202 East Fowler Avenue, CIS 1040, Tampa, Florida 33620-7800
kchari{at}coba.usf.edu

Decision support systems (DSS) typically contain data and models to facilitate decision making. DSS users, in response to a particular decision-making situation, often execute a sequence of models, in which inputs to a model in the sequence are obtained from outputs of other models upstream in the sequence and from database retrievals. The problem of generating a sequence of models from the set of available models is known as the model composition problem. In this paper, we propose a new construct called filter spaces to support model composition. We show how filter spaces can significantly facilitate automation of model composition and execution process, and provide effective means to integrate partial solutions from multiple composite models and databases.

Key Words: Decision Support Systems; Model Management; Model Composition
History: This paper was received on August 4, 1999.