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Published On May 28, 2022
Journal Issue LJRS Volume 22 Issue 4

A Single Server Fuzzy Queue with Reneging and Retention of Reneged Customers

Dr. Kannadasan Govindarajulu
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Research ID YDTX1

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− Abstract

This paper deals with an FM/FM/1 queueing system with reneging and retention of reneged customers and fuzzy parameters. We discuss fuzzy queueintg model and performance measures. We are using α -cuts method in the pentagonal fuzzy numbers. Finally numerical results are presented to show the effects of system parameter.

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− Conflict of Interest

The authors declare no conflict of interest.

− Ethical Approval

Not applicable

− Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

− Funding

This work did not receive any external funding.

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Dr. Kannadasan Govindarajulu (2022). A Single Server Fuzzy Queue with Reneging and Retention of Reneged Customers. .

  • Classification

    DDC Code: 005.8 LCC Code: QA76.9.A25

  • Version of record

    v1.0

  • Issue date

    28 May 2022

  • Language

    en

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