TY - JOUR
T1 - Fuzzy random renewal reward process and its applications
AU - Wang, Shuming
AU - Watada, Junzo
PY - 2009/11/25
Y1 - 2009/11/25
N2 - This paper studies a renewal reward process with fuzzy random interarrival times and rewards under the ⊤-independence associated with any continuous Archimedean t-norm ⊤. The interarrival times and rewards of the renewal reward process are assumed to be positive fuzzy random variables whose fuzzy realizations are ⊤-independent fuzzy variables. Under these conditions, some limit theorems in mean chance measure are derived for fuzzy random renewal rewards. In the sequel, a fuzzy random renewal reward theorem is proved for the long-run expected reward per unit time of the renewal reward process. The renewal reward theorem obtained in this paper can degenerate to that of stochastic renewal theory. Finally, some application examples are provided to illustrate the utility of the result.
AB - This paper studies a renewal reward process with fuzzy random interarrival times and rewards under the ⊤-independence associated with any continuous Archimedean t-norm ⊤. The interarrival times and rewards of the renewal reward process are assumed to be positive fuzzy random variables whose fuzzy realizations are ⊤-independent fuzzy variables. Under these conditions, some limit theorems in mean chance measure are derived for fuzzy random renewal rewards. In the sequel, a fuzzy random renewal reward theorem is proved for the long-run expected reward per unit time of the renewal reward process. The renewal reward theorem obtained in this paper can degenerate to that of stochastic renewal theory. Finally, some application examples are provided to illustrate the utility of the result.
KW - ⊤-Independence
KW - Archimedean t-norm
KW - Fuzzy random variable
KW - Renewal process
KW - Renewal reward theorem
UR - http://www.scopus.com/inward/record.url?scp=70349161575&partnerID=8YFLogxK
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U2 - 10.1016/j.ins.2009.08.016
DO - 10.1016/j.ins.2009.08.016
M3 - Article
AN - SCOPUS:70349161575
SN - 0020-0255
VL - 179
SP - 4057
EP - 4069
JO - Information Sciences
JF - Information Sciences
IS - 23
ER -