Show simple item record Shen, Qiang Zhao, Ruiqing Tang, Wansheng 2009-01-05T09:48:18Z 2009-01-05T09:48:18Z 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 . DOI: 10.1007/s00500-008-0307-y en
dc.identifier.issn 1433-7479
dc.identifier.other PURE: 98054
dc.identifier.other PURE UUID: 9c7ae0ef-6421-403f-ad30-959eed0ad36b
dc.identifier.other dspace: 2160/1817
dc.identifier.other DSpace_20121128.csv: row: 1489
dc.identifier.other RAD: 682
dc.identifier.other RAD_Outputs_All_ID_Import_20121105.csv: row: 3217
dc.identifier.other Scopus: 55549131921
dc.identifier.uri en
dc.description Q. Shen, R. Zhao and W. Tang. Random fuzzy alternating renewal processes. Soft Computing, 13(2):139-147, 2009. Sponsorship: EPSRC RONO: EP/D057086/1 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.rights en
dc.title Random Fuzzy Alternating Renewal Processes en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
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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