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  • 标题:A Situation Analysis Decision Support System Based on Dynamic Object Oriented Bayesian Networks
  • 本地全文:下载
  • 作者:Naderpour, Mohsen ; Lu, Jie
  • 期刊名称:Journal of Software
  • 印刷版ISSN:1796-217X
  • 出版年度:2014
  • 卷号:9
  • 期号:8
  • 页码:2194-2199
  • DOI:10.4304/jsw.9.8.2194-2199
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:This paper proposes a situation analysis decision support system (SADSS) for safety of safety-critical systems where the operators are stressed by the task of understanding what is going on in the situation. The proposed SADSS is developed based on a new model-driven engineering approach for hazardous situations modeling based on dynamic object oriented Bayesian networks to reduce the complexity of the decision-making process by aiding operators’ cognitive activities. The SADSS includes four major elements: a situation data collection based on observable variables such as sensors, a situation knowledge-base which consists of dynamic object oriented Bayesian networks to model hazardous situations, a situation analysis which shows the current state of hazardous situations based on risk concept and possible near future state, and a human-computer interface. Finally two evaluation methods for partial and full validation of SADSS are presented.   Manuscript received September 5, 2013; revised September 25, 2013; accepted October 5, 2013.
  • 关键词:Situation awareness; decision support systems; safety-critical systems
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