2012•China ShiprepairRequires access

Research on the repair decision support system for the ships in emergency based on knowledgebase

Xu W

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Abstract

In consideration of the characteristics of the complexity of warship battlefield,damage and repair mission and the emergency of reaction time in wartime,the project of warship battle field damage and repair decision support system(BDR-DSS)is built,and the way of building knowledge base and the battlefield repair decision based on it are researched in details;BDR-DSS based on knowledgebase is developed.The decision level of BDR will be raised to a certain extent by the research in this paper,and it also can provide some help for the informatization and intelligent of such decision.

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What this paper is about

In consideration of the characteristics of the complexity of warship battlefield,damage and repair mission and the emergency of reaction time in wartime,the project of warship battle field damage and repair decision support system(BDR-DSS)is built,and the way of building knowledge base and the battlefield repair decision based on it are researched in details;BDR-DSS based on knowledgebase is developed.The decision level of BDR will be raised to a certain extent by the research in this paper,and it also can provide some help for the informatization and intelligent of such decision.

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Available abstract

In consideration of the characteristics of the complexity of warship battlefield,damage and repair mission and the emergency of reaction time in wartime,the project of warship battle field damage and repair decision support system(BDR-DSS)is built,and the way of building knowledge base and the battlefield repair decision based on it are researched in details;BDR-DSS based on knowledgebase is developed.The decision level of BDR will be raised to a certain extent by the research in this paper,and it also can provide some help for the informatization and intelligent of such decision.

Key concepts: Battlefield, Informatization, Decision support system, Battle, Engineering, Construction engineering, Knowledge base, Decision system

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