A fuzzy simulation algorithm for estimating availability functions in time-dependent complex systems

Ali Azadeh, Vahid Ebrahimipour and Foad Ghoreishi

International Journal of Industrial and Systems Engineering, 2011, vol. 7, issue 4, 429-453

Abstract: This paper introduces a fuzzy discrete-event simulation in order to estimate availability functions in time-dependent real systems, especially when insufficient data are available. Fuzzy numbers are used to describe uncertain activity durations (in this research failure/repair durations), reflecting vagueness, imprecision and subjectivity in the estimation of them. Specifically, this paper describes a general algorithm based on fuzzy simulation, which can be used to analyse a wide range of time-dependent complex systems, including those presenting multiple states, dependencies among failure/repair times or non-perfect maintenance policies even when insufficient data are available. The proposed algorithm is implemented for a Remote Telecommunications System by Visual SLAM simulation. It is also compared with conventional simulation to show its advantages and superiority. Furthermore, it can handle both crisp and non-crisp data for estimating availability functions in time-dependent complex systems.

Keywords: fuzzy simulation; fuzzy logic; system availability; DES; discrete event simulation; time-dependent systems; complex systems; remote telecommunications. (search for similar items in EconPapers)
Date: 2011
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