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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
IS-85-59.pdf | 4.21 MB | Adobe PDF | View/Open |
Items in FDA are protected by copyright, with all rights reserved, unless otherwise indicated.