Knowledge-based modeling support for linear programming
Thesis/Dissertation
·
OSTI ID:6391684
Currently, Operations Research models provide powerful decision aids but their use has been expensive and limited to technical specialists. This research investigates the role of artificial intelligence (Al) in model-formulation subsystems. It starts from the observation that, with current Al technology, there is a distinct trade-off between the generality of modeling support tools and the skill level required to use them. Therefore, knowledge-based systems for model formulation have to specialize in order to provide sufficient guidance to a decision maker with limited expertise in Operations Research. This thesis advocates an approach that specializes by integrating structural knowledge of a particular class of mathematical methods with application-specific knowledge about a particular business domain. This approach is illustrated using linear programming (LP) in production applications as an example. A theory of LP model formulation is developed based on the elementary concepts of resource and action. A knowledge representation scheme based on this theory organizes knowledge about the application domain in a hierarchy of objects and relates this qualitative domain knowledge to the linear programming representation.
- Research Organization:
- New York Univ., NY (USA). Graduate School of Business Administration
- OSTI ID:
- 6391684
- Country of Publication:
- United States
- Language:
- English
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