Show simple item record Qiang en_US Ruiqing en_US Wansheng en_US 2009-01-05T09:48:18Z 2009-01-05T09:48:18Z 2009 en_US
dc.identifier en_US
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_US
dc.identifier.other PURE: 98054 en_US
dc.identifier.other dspace: 2160/1817 en_US
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_US
dc.format.extent 9 en_US
dc.relation.ispartof Soft Computing en_US
dc.title Random Fuzzy Alternating Renewal Processes en_US
dc.contributor.pbl Department of Computer Science en_US
dc.contributor.pbl Advanced Reasoning Group en_US

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