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International Conference on Computer and Information Science

ICIS 2017: Computer and Information Science pp 139–147Cite as

A Multicriteria Approach for Selecting the Optimal Location of Waste Electrical and Electronic Treatment Plants

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 719))

Abstract

This paper presents multicriteria decision-making approach for selecting the optimal location of waste electrical and electronic equipment (WEEE) treatment plants. Hesitant fuzzy set is used to deal with the situations in which the decision maker hesitates among several values to assess the alternatives. A hesitant fuzzy Hamacher geometric operator is proposed for producing a preference value for every waste electrical and electronic equipment treatment plant location alternative across all selection criteria. An example is given for demonstrating the applicability of the proposed multicriteria decision-making approach for selecting the optimal location of WEEE treatment plants.

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Authors and Affiliations

  1. School of Engineering & Technology, CQUniversity, Melbourne, Australia

    Santoso Wibowo & Srimannarayana Grandhi

Authors
  1. Santoso Wibowo
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  2. Srimannarayana Grandhi
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Corresponding author

Correspondence to Santoso Wibowo .

Editor information

Editors and Affiliations

  1. Software Engineering and Information Technology Institute, Central Michigan University, Mt. Pleasant, MI, USA

    Roger Lee

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Wibowo, S., Grandhi, S. (2018). A Multicriteria Approach for Selecting the Optimal Location of Waste Electrical and Electronic Treatment Plants. In: Lee, R. (eds) Computer and Information Science. ICIS 2017. Studies in Computational Intelligence, vol 719. Springer, Cham. https://doi.org/10.1007/978-3-319-60170-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-60170-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60169-4

  • Online ISBN: 978-3-319-60170-0

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