Volume 9 Number 8 (Aug. 2014)
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JSW 2014 Vol.9(8): 2194-2199 ISSN: 1796-217X
doi: 10.4304/jsw.9.8.2194-2199

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

Mohsen Naderpour, Jie Lu
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.

Index Terms—Situation awareness, decision support systems, safety-critical systems


Cite: Mohsen Naderpour, 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.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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