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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14541
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| Title: | DOMAIN-SPECIFIC DSS TOOLS FOR KNOWLEDGE-BASED MODEL BUILDING |
| Authors: | Binbasioglu, Meral
Jarke, Matthias |
| Issue Date: | Jul-1985 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-85-59 |
| Abstract: | 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 tools. It is hypothesized that current
artificial intelligence technology is insufficient to build generalized
formulation tools that would be usable by OR-naive end users. As an
alternative, this paper presents a domain-specific approach to
knowledge-based model formulation which combines the use of
"syntactic" knowledge about linear programming with
âsemanticâ guidance by knowledge specific to some
application domain. As a prototype of this approach, a model formulation
tool for LP-based production management is under development at New York University. |
| URI: | http://hdl.handle.net/2451/14541 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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