EXPERT-SYSTEMS FOR SEA MINE WARFARE

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DC Field	Value	Language
dc.contributor.author	LU, HC	en_US
dc.contributor.author	MON, DL	en_US
dc.contributor.author	YANG, C	en_US
dc.date.accessioned	2014-12-08T15:03:45Z	-
dc.date.available	2014-12-08T15:03:45Z	-
dc.date.issued	1994-10-01	en_US
dc.identifier.issn	0011-748X	en_US
dc.identifier.uri	http://hdl.handle.net/11536/2296	-
dc.description.abstract	In 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.iso	en_US	en_US
dc.title	EXPERT-SYSTEMS FOR SEA MINE WARFARE	en_US
dc.type	Article	en_US
dc.identifier.journal	DEFENCE SCIENCE JOURNAL	en_US
dc.citation.volume	44	en_US
dc.citation.issue	4	en_US
dc.citation.spage	305	en_US
dc.citation.epage	315	en_US
dc.contributor.department	管理科學系	zh_TW
dc.contributor.department	Department of Management Science	en_US
dc.identifier.wosnumber	WOS:A1994RC57000004	-
dc.citation.woscount	0	-
Appears in Collections:	Articles