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

Naderpour, M; Lu, J

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

Naderpour, M Lu, J

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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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Field	Value	Language
dc.contributor.author	Naderpour, M	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.date.issued	2014-08-01	en_US
dc.identifier.citation	Journal of Software, 2014, 9 (8), pp. 2194 - 2199 (5)	en_US
dc.identifier.issn	1796-217X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32962
dc.description.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.	en_US
dc.publisher	Academy Publisher	en_US
dc.relation.ispartof	Journal of Software	en_US
dc.relation.isbasedon	10.4304/jsw.9.8.2194-2199	en_US
dc.title	A Situation Analysis Decision Support System Based on Dynamic Object Oriented Bayesian Networks	en_US
dc.type	Journal Article
utslib.citation.volume	8	en_US
utslib.citation.volume	9	en_US
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.issue	8	en_US
pubs.publication-status	Published	en_US
pubs.volume	9	en_US

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.

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http://hdl.handle.net/10453/32962