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Fuzzy Queuing Theory

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Fuzzy Probabilities

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 115))

Abstract

The results in Section 5.3 come from [1]. However, the applications in Sections 5.4 were adapted from [2]. We first review some basic results from regular, finite, Markov chains (also in the next Chapter) applied to queuing theory and then show in Section 5.3 that we also obtain steady state fuzzy probabilities for fuzzy regular, finite, Markov chains. Then in Section 5.4 we discuss two applications.

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References

  1. J.J. Buckley and E. Eslami: Uncertain Probabilities I: The Discrete Case, Soft Computing. To appear.

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  2. J.J. Buckley, T. Feuring and Y. Hayashi: Fuzzy Queuing Theory Revisited, Int. J. Uncertainty, Fuzziness and Knowledge-Based Systems, 9(2001), pp. 527–538.

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© 2003 Physica-Verlag Heidelberg

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Buckley, J.J. (2003). Fuzzy Queuing Theory. In: Fuzzy Probabilities. Studies in Fuzziness and Soft Computing, vol 115. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-86786-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-86786-6_5

  • Publisher Name: Physica-Verlag HD

  • Print ISBN: 978-3-642-86788-0

  • Online ISBN: 978-3-642-86786-6

  • eBook Packages: Springer Book Archive

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