Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Binbasioglu, Meral | - |
dc.contributor.author | Jarke, Matthias | - |
dc.date.accessioned | 2006-02-28T15:00:45Z | - |
dc.date.available | 2006-02-28T15:00:45Z | - |
dc.date.issued | 1985-07 | - |
dc.identifier.uri | http://hdl.handle.net/2451/14541 | - |
dc.description.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. | en |
dc.format.extent | 4305988 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language | English | EN |
dc.language.iso | en_US | - |
dc.publisher | Stern School of Business, New York University | en |
dc.relation.ispartofseries | IS-85-59 | - |
dc.title | DOMAIN-SPECIFIC DSS TOOLS FOR KNOWLEDGE-BASED MODEL BUILDING | en |
dc.type | Working Paper | en |
dc.description.series | Information Systems Working Papers Series | EN |
Appears in Collections: | IOMS: Information Systems Working Papers |
Files in This Item:
File | Description | Size | Format | |
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IS-85-59.pdf | 4.21 MB | Adobe PDF | View/Open |
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