A Situation Analysis Decision Support System Based on Dynamic Object Oriented Bayesian Networks

Publisher:
Academy Publisher
Publication Type:
Journal Article
Citation:
Journal of Software, 2014, 9 (8), pp. 2194 - 2199 (5)
Issue Date:
2014-08-01
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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 knowledgebase 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 humancomputer interface. Finally two evaluation methods for partial and full validation of SADSS are presented.
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