DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jae Kyu | ko |
dc.contributor.author | Song, YU | ko |
dc.date.accessioned | 2008-05-02T08:35:55Z | - |
dc.date.available | 2008-05-02T08:35:55Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1996-08 | - |
dc.identifier.citation | ANNALS OF OPERATIONS RESEARCH, v.65, no.1, pp.157 - 179 | - |
dc.identifier.issn | 0254-5330 | - |
dc.identifier.uri | http://hdl.handle.net/10203/4372 | - |
dc.description.abstract | Post-Model Analysis (PMA) is a framework that unifies an optimization model with a rule-based system and enables the multi-objective decision modeling that considers both numeric and symbolic objectives and decision variables. In this research, we have developed a system UNIK-PMA that implements the PMA procedure on the knowledge-assisted optimization modeler UNIK-OPT and a backward chaining rule-based system UNIK-BWD. This paper particularly elaborates the process of generating constraints of the linear programming model from the rule-based goals, which is a crucial step of PMA. UNIK-PMA is illustrated with an example of aggregate production planning. | - |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | BALTZER SCI PUBL BV | - |
dc.title | UNIK-PMA: A unifier of optimization model with rule-based systems by the post-model analysis | - |
dc.type | Article | - |
dc.identifier.wosid | A1996VG75900008 | - |
dc.identifier.scopusid | 2-s2.0-21444434625 | - |
dc.type.rims | ART | - |
dc.citation.volume | 65 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 157 | - |
dc.citation.endingpage | 179 | - |
dc.citation.publicationname | ANNALS OF OPERATIONS RESEARCH | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Lee, Jae Kyu | - |
dc.contributor.nonIdAuthor | Song, YU | - |
dc.type.journalArticle | Article | - |
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