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dc.contributor.authorLU, HCen_US
dc.contributor.authorMON, DLen_US
dc.contributor.authorYANG, Cen_US
dc.date.accessioned2014-12-08T15:03:45Z-
dc.date.available2014-12-08T15:03:45Z-
dc.date.issued1994-10-01en_US
dc.identifier.issn0011-748Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/2296-
dc.description.abstractIn this paper, the probabilistic inference network (PIN) in a decision support systems environment is used to deal with several uncertain questions. The PM method is supported by the certainty factors. Calculations involving quantitative probabilities for answering concerned questions enable mine countermeasure (MCM) experts to offer suggestions:to a commander for reducing the ship's vulnerability at sea during wartime. For sea mine warfare scenarios, based on an analysis, we have a degree of confidence of 0.6568 to suggest the commander to deploy MCM forces.en_US
dc.language.isoen_USen_US
dc.titleEXPERT-SYSTEMS FOR SEA MINE WARFAREen_US
dc.typeArticleen_US
dc.identifier.journalDEFENCE SCIENCE JOURNALen_US
dc.citation.volume44en_US
dc.citation.issue4en_US
dc.citation.spage305en_US
dc.citation.epage315en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:A1994RC57000004-
dc.citation.woscount0-
Appears in Collections:Articles