Random Fuzzy Alternating Renewal Processes


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dc.contributor.author Shen, Qiang
dc.contributor.author Zhao, Ruiqing
dc.contributor.author Tang, Wansheng
dc.date.accessioned 2009-01-05T09:48:18Z
dc.date.available 2009-01-05T09:48:18Z
dc.date.issued 2009
dc.identifier.citation Shen , Q , Zhao , R & Tang , W 2009 , ' Random Fuzzy Alternating Renewal Processes ' Soft Computing , vol 13 , no. 2 , pp. 139-147 . , 10.1007/s00500-008-0307-y en
dc.identifier.issn 1433-7479
dc.identifier.other PURE: 98054
dc.identifier.other dspace: 2160/1817
dc.identifier.uri http://hdl.handle.net/2160/1817
dc.identifier.uri http://www.springerlink.com/content/q767557435793635/?p=e9cba618792548baaef21193b6ee5f16&pi=5 en
dc.description Q. Shen, R. Zhao and W. Tang. Random fuzzy alternating renewal processes. Soft Computing, 13(2):139-147, 2009. Sponsorship: EPSRC en
dc.description.abstract Random fuzzy theory offers an appropriate mechanism to model random fuzzy phenomena, with a random fuzzy variable defined as a function from a credibility space to a collection of random variables. Based on this theory, this paper presents the results of an investigation into the representation of properties of alternating renewal processes that are described by sequences of positive random fuzzy vectors. It provides a theorem on the limit value of the average chance of a given random fuzzy event in terms of 'system being on at time t'. The resultant model coincides with that attainable by stochastic analysis when the random fuzzy vectors degenerate to random vectors. en
dc.format.extent 9 en
dc.language.iso eng
dc.relation.ispartof Soft Computing en
dc.title Random Fuzzy Alternating Renewal Processes en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1007/s00500-008-0307-y
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Peer reviewed en

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