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https://scholarbank.nus.edu.sg/handle/10635/72241
DC Field | Value | |
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dc.title | A knowledge-based modeling system for time-critical dynamic decision-making | |
dc.contributor.author | Xiang, Y. | |
dc.contributor.author | Poh, K.-L. | |
dc.date.accessioned | 2014-06-19T04:52:42Z | |
dc.date.available | 2014-06-19T04:52:42Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Xiang, Y.,Poh, K.-L. (2006). A knowledge-based modeling system for time-critical dynamic decision-making. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4099 LNAI : 212-221. ScholarBank@NUS Repository. | |
dc.identifier.isbn | 3540366679 | |
dc.identifier.issn | 03029743 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/72241 | |
dc.description.abstract | Knowledge-based model construction approach has been applied to many problems. Previous research doesn't provide an approach to construct models to deal with time-critical dynamic decision problems. This paper presents a Knowledge-based Time-critical Dynamic Decision Modeling system (KTDDM) for time-critical dynamic decision-making. The system architecture and functional modules are described. A new knowledge representation framework is provided to support the whole model construction process. This paper applies the KTDDM system prototype to construct a decision model for the time-critical dynamic medical problem on cardiac arrest to demonstrate the effectiveness of this approach. © Springer-Verlag Berlin Heidelberg 2006. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | INDUSTRIAL & SYSTEMS ENGINEERING | |
dc.description.sourcetitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.description.volume | 4099 LNAI | |
dc.description.page | 212-221 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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