A Convolution Universal Generating Function Method For Evaluating The Symbolic One-To-All-Target-Subset Reliability Function Of Acyclic Multi-State Information Networks

Yeh, W

A Convolution Universal Generating Function Method For Evaluating The Symbolic One-To-All-Target-Subset Reliability Function Of Acyclic Multi-State Information Networks

Yeh, W

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Publisher:: IEEE-Inst Electrical Electronics Engineers Inc
Publication Type:: Journal Article
Citation:: IEEE Transactions on Reliability, 2009, 58 (3), pp. 476 - 484
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Yeh, W	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	IEEE Transactions on Reliability, 2009, 58 (3), pp. 476 - 484	en_US
dc.identifier.issn	0018-9529	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15192
dc.description.abstract	The acyclic multi-state information network (AMIN) is an extension of the multi-state network without having to satisfy the flow conservation law. A very straightforward convolution universal generating function method (CUGFM) is developed to find the ex	en_US
dc.publisher	IEEE-Inst Electrical Electronics Engineers Inc	en_US
dc.relation.ispartof	IEEE Transactions on Reliability	en_US
dc.relation.isbasedon	10.1109/TR.2009.2026688	en_US
dc.rights	© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.subject.classification	Operations Research	en_US
dc.title	A Convolution Universal Generating Function Method For Evaluating The Symbolic One-To-All-Target-Subset Reliability Function Of Acyclic Multi-State Information Networks	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	58	en_US
utslib.location.activity	ISI:000269513900009	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	ISI:000269513900009	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 Software
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.issue	3	en_US
pubs.volume	58	en_US

Abstract:

The acyclic multi-state information network (AMIN) is an extension of the multi-state network without having to satisfy the flow conservation law. A very straightforward convolution universal generating function method (CUGFM) is developed to find the ex

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/15192