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Please use this identifier to cite or link to this item: http://hdl.handle.net/2451/14541

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 “semantic” 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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