Modeling uncertain activity duration by fuzzy number and discrete-event simulation

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)715-729
Journal / PublicationEuropean Journal of Operational Research
Volume164
Issue number3 SPEC. ISS.
Publication statusPublished - 1 Aug 2005

Abstract

This paper introduces how to incorporate fuzzy set theory and a fuzzy ranking measure with discrete-event simulation in order to model uncertain activity duration in simulating a real-world system, especially when insufficient or no sample data are available. Fuzzy numbers are used to describe uncertain activity durations, reflecting vagueness, imprecision and subjectivity in the estimation of them. A fuzzy ranking measure is merged with an activity scanning simulation algorithm for performing fuzzy simulation time advancement and event selection for simulation experimentation. The uses of the fuzzy activity duration and the probability distribution-modeled duration are compared through a series of simulation experiments. It is observed that the fuzzy simulation outputs are arrived at through only one cycle of fuzzy discrete-event simulation, still they contain all the statistical information that are produced through multiple cycles of simulation experiments when the probability distribution approach is adopted. © 2004 Elsevier B.V. All rights reserved.

Research Area(s)

  • Discrete-event simulation, Fuzzy number, Fuzzy ranking, Fuzzy sets theory, Uncertainty activity duration