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

Author

Listed:
  • Ali Azadeh
  • Vahid Ebrahimipour
  • Foad Ghoreishi

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.

Suggested Citation

  • Ali Azadeh & Vahid Ebrahimipour & Foad Ghoreishi, 2011. "A fuzzy simulation algorithm for estimating availability functions in time-dependent complex systems," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 7(4), pages 429-453.
  • Handle: RePEc:ids:ijisen:v:7:y:2011:i:4:p:429-453
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