Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISKE.2008.4730917
DC FieldValue
dc.titleAn intelligent design system for military situation assessment
dc.contributor.authorXiang, Y.
dc.contributor.authorZeng, Y.
dc.contributor.authorZhu, W.
dc.contributor.authorPoh, K.-L.
dc.date.accessioned2014-06-19T04:53:11Z
dc.date.available2014-06-19T04:53:11Z
dc.date.issued2008
dc.identifier.citationXiang, Y., Zeng, Y., Zhu, W., Poh, K.-L. (2008). An intelligent design system for military situation assessment. Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008 : 158-163. ScholarBank@NUS Repository. https://doi.org/10.1109/ISKE.2008.4730917
dc.identifier.isbn9781424421978
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72284
dc.description.abstractMaintaining an accurate assessment of military situation assessment is essential to prevention, containment and effective response to military conflicts of all kinds. This research developed an intelligent decision support system for military situation assessment, which would be extremely useful for military decision makers. High uncertainty and the dynamics of the environment is a crucial problem for military situation assessment. In this research, Bayesian network models which have the ability to model and reason under uncertainties are employed as decision models. A new approach for constructing a decision model from knowledge base according to the changes in environment is proposed. An example from domain-littoral threats assessment is used to demonstrate this system's capability to construct situation-specific Bayesian network decision models from the domain knowledge base dynamically. The generated Bayesian network for situation assessment can be changed as the situation evolves. © 2008 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ISKE.2008.4730917
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1109/ISKE.2008.4730917
dc.description.sourcetitleProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
dc.description.page158-163
dc.identifier.isiut000262437400032
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