DocumentCode :
2641984
Title :
Study on Risk Evaluation Intelligent Decision Support System of Urban Gas Pipeline
Author :
Liu, Jun E. ; Wang, Xin
Author_Institution :
Inf. Sch., Beijing Wuzi Univ., Beijing
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
600
Lastpage :
600
Abstract :
Risk evaluation intelligent decision support system of urban gas pipeline is supposed to do risk evaluation on the whole system of urban gas pipelines. Based on the risk evaluation theory and took intelligent decision support system as a core, embedding the development model of geographical information system (GIS), it builds a general framework of intelligent decision support system under the GIS environment. The establishment of the system is an important tool to strengthen the scientific nature of making decisions for urban gas pipeline risk management, and to improve the management level of urban gas pipeline. Applying the theory of artificial intelligence, geographical information system and decision support system synthetically it designs the risk evaluation intelligent decision support system of urban gas pipeline to the overall structure. The results form a basis for further improvement and exploitation of such system.
Keywords :
decision support systems; gas industry; geographic information systems; knowledge based systems; neural nets; pipelines; risk analysis; artificial intelligence; decision making; geographical information system; intelligent decision support system; neural network; risk evaluation; risk management; urban gas pipeline; Artificial intelligence; Computational modeling; Decision making; Decision support systems; Geographic Information Systems; Intelligent structures; Intelligent systems; Machine intelligence; Pipelines; Risk management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.527
Filename :
4603789
Link To Document :
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