doi: 10.4304/jsw.9.8.2194-2199
A Situation Analysis Decision Support System Based on Dynamic Object Oriented Bayesian Networks
- Decision Systems and e-Service Intelligence Laboratory Centre for Quantum Computation & Intelligent Systems, School of Software Faculty of Engineering and IT, University of Technology, Sydney
Abstract
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.
Keywords
- Situation awareness
- decision support sy
How to Cite
Mohsen Naderpour and Jie Lu, "A Situation Analysis Decision Support System Based on Dynamic Object Oriented Bayesian Networks," Journal of Software, vol. 9, no. 8, pp. 2194-2199, 2014. https://doi.org/ 10.4304/jsw.9.8.2194-2199
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).