Fuzzy comprehensive approach based on AHP and entropy combination weight for pipeline leak detection system performance evaluation

Yu, Y; Wu, Y; Yu, N; Wan, J

Fuzzy comprehensive approach based on AHP and entropy combination weight for pipeline leak detection system performance evaluation

Yu, Y

Wu, Y Yu, N Wan, J

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Publication Type:: Conference Proceeding
Citation:: SysCon 2012 - 2012 IEEE International Systems Conference, Proceedings, 2012, pp. 606 - 611
Issue Date:: 2012-05-25

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Field	Value	Language
dc.contributor.author	Yu, Y https://orcid.org/0000-0001-9592-8191	en_US
dc.contributor.author	Wu, Y	en_US
dc.contributor.author	Yu, N	en_US
dc.contributor.author	Wan, J	en_US
dc.date.issued	2012-05-25	en_US
dc.identifier.citation	SysCon 2012 - 2012 IEEE International Systems Conference, Proceedings, 2012, pp. 606 - 611	en_US
dc.identifier.isbn	9781467307499	en_US
dc.identifier.uri	http://hdl.handle.net/10453/46906
dc.description.abstract	Recently research on the evaluation of pipeline leak detection systems has been developing due to the widespread of natural gas supply through pipeline transportation in urban areas. This paper presents an improved fuzzy comprehensive evaluation method for assessing the performance of leak detection systems. In this method, the weights of different indexes are calculated by combining entropy weight with AHP weight. Weighted average operator is introduced to replace the fuzzy operator in traditional evaluation models. And interval evaluation according to comment rank is also adopted for final evaluation results. Simulation experiments verify the effectiveness of new approach. Compared with other common evaluation methods, new approach could effectively enhance evaluation resolution, satisfying the requirement of pipeline leak detection application. © 2012 IEEE.	en_US
dc.relation.ispartof	SysCon 2012 - 2012 IEEE International Systems Conference, Proceedings	en_US
dc.relation.isbasedon	10.1109/SysCon.2012.6189528	en_US
dc.title	Fuzzy comprehensive approach based on AHP and entropy combination weight for pipeline leak detection system performance evaluation	en_US
dc.type	Conference Proceeding
utslib.for	0905 Civil Engineering	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 Civil and Environmental Engineering
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Recently research on the evaluation of pipeline leak detection systems has been developing due to the widespread of natural gas supply through pipeline transportation in urban areas. This paper presents an improved fuzzy comprehensive evaluation method for assessing the performance of leak detection systems. In this method, the weights of different indexes are calculated by combining entropy weight with AHP weight. Weighted average operator is introduced to replace the fuzzy operator in traditional evaluation models. And interval evaluation according to comment rank is also adopted for final evaluation results. Simulation experiments verify the effectiveness of new approach. Compared with other common evaluation methods, new approach could effectively enhance evaluation resolution, satisfying the requirement of pipeline leak detection application. © 2012 IEEE.

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http://hdl.handle.net/10453/46906