We present a two-phased approach to automating the model building process in decision
support systems (DSSs). The role of problem structuring in the model building process is …

As decision support systems (DSS) move towards more strategic application domains, there
is a growing need for the capability of aiding the decision maker in modelling unanticipated …

The formulation of complex planning models, such as linear programming (LP) systems, is a
difficult task that enjoys little support by current decision support systems. It is hypothesized …

Model management research investigates the formulation, analysis and interpretation of
models. This paper focuses on the formulation aspects of modeling so that the task can be …

The value of mathematical modeling and analysis in the decision support context is well
recognized. However, the complex and evolutionary nature of the modeling process has …

The role of derivational analogy approach in the model building domain is investigated. In
particular, the paper focuses on enhancing decision support systems with model …

This paper investigates some reasoning issues involved in developing an integrated
modeling environment called a model management system. A model management system is …

Representing a problem in terms of a mathematical model is considered an art that is
mastered only through experience. A model for a problem is constructed based on a set of …

Abstract Currently, Operations Research models provide powerful decision aids but their
use has been expensive and limited to technical specialists. This research investigates the …

Supporting decision making in an intelligent way is a major topic in automated system
design since many years. Scientific fields such as decision analysis, artificial intelligence …