Fuzzy random renewal process with queueing applications

Shuming Wang, Yan Kui Liu, Junzo Watada

    Research output: Contribution to journalArticlepeer-review

    43 Citations (Scopus)

    Abstract

    Using extension principle associated with a class of continuous Archimedean triangular norms, this paper studies a fuzzy random renewal process in which the interarrival times are assumed to be independent and identically distributed fuzzy random variables. Some limit theorems in chance measure and in expected value for the sum of fuzzy random variables are proved on the basis of the continuous Archimedean triangular norm based arithmetics. Furthermore, we discuss the fuzzy random renewal process based on the obtained limit theorems, and derive a fuzzy random elementary renewal theorem for the long-run expected renewal rate. The renewal theorem obtained in this paper can degenerate to the corresponding classical result in stochastic renewal process. Finally, two case studies of queueing systems are provided to illustrate the application of the fuzzy random elementary renewal theorem.

    Original languageEnglish
    Pages (from-to)1232-1248
    Number of pages17
    JournalComputers and Mathematics with Applications
    Volume57
    Issue number7
    DOIs
    Publication statusPublished - 2009 Apr

    Keywords

    • Archimedean triangular norm
    • Elementary renewal theorem
    • Extension principle
    • Fuzzy random variables
    • Interarrival times
    • Queueing system
    • Renewal process

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Modelling and Simulation
    • Computational Mathematics

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