EXPERT-SYSTEMS FOR SEA MINE WARFARE
| dc.citation.epage | 315 | en_US |
| dc.citation.issue | 4 | en_US |
| dc.citation.spage | 305 | en_US |
| dc.citation.volume | 44 | en_US |
| dc.citation.woscount | 0 | |
| dc.contributor.author | LU, HC | en_US |
| dc.contributor.author | MON, DL | en_US |
| dc.contributor.author | YANG, C | en_US |
| dc.contributor.department | 管理科學系 | zh_TW |
| dc.contributor.department | Department of Management Science | 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.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.identifier.issn | 0011-748X | en_US |
| dc.identifier.journal | DEFENCE SCIENCE JOURNAL | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/2296 | |
| dc.identifier.wosnumber | WOS:A1994RC57000004 | |
| dc.language.iso | en_US | en_US |
| dc.title | EXPERT-SYSTEMS FOR SEA MINE WARFARE | en_US |
| dc.type | Article | en_US |
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