Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72241
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dc.titleA knowledge-based modeling system for time-critical dynamic decision-making
dc.contributor.authorXiang, Y.
dc.contributor.authorPoh, K.-L.
dc.date.accessioned2014-06-19T04:52:42Z
dc.date.available2014-06-19T04:52:42Z
dc.date.issued2006
dc.identifier.citationXiang, 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.isbn3540366679
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72241
dc.description.abstractKnowledge-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.sourceScopus
dc.typeConference Paper
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume4099 LNAI
dc.description.page212-221
dc.identifier.isiutNOT_IN_WOS
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