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Proceedings of the Conference of the European Society for Fuzzy Logic and Technology

International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets

EUSFLAT 2017, IWIFSGN 2017: Advances in Fuzzy Logic and Technology 2017 pp 330–341Cite as

A Hesitant Fuzzy Based TOPSIS Approach for Smart Glass Evaluation

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 641))

Abstract

Hesitant fuzzy linguistic term sets (HFLTS) are applied to better represent decision maker’s (DMs’) preferences in complex situations such as uncertainty in DMs’ opinions and the difficulty about expressing thoughts by numbers. As an important tool, HFLTS presents a novel and strong approach for processing qualitative judgments of DMs. Therefore, this paper develops an approach based on HFLTS, ordered weighted averaging (OWA) operator and hesitant fuzzy technique for order performance by similarity to ideal solution (TOPSIS). A case study about smart glass (SG) evaluation is given to demonstrate the potential of the approach. The originality of the work comes from its evaluation methodology and its use on a case study for a logistics company. The study contributes the smart glass (SG) evaluation literature by introducing the integrated OWA Operator-Hesitant TOPSIS methodology. Since technology selection is an important subject for managers, the proposed methodology can be guided managers for an effective SG evaluation process.

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Acknowledgments

The authors kindly express their appreciation for the support of industrial experts. This research has received financial support of Galatasaray University Research Fund (Project No: 17.402.004).

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Authors and Affiliations

  1. Industrial Engineering Department, Galatasaray University, 34357, Ortaköy, Istanbul, Turkey

    Gülçin Büyüközkan & Merve Güler

Authors
  1. Gülçin Büyüközkan
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  2. Merve Güler
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Corresponding author

Correspondence to Gülçin Büyüközkan .

Editor information

Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Eulalia Szmidt

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Sławomir Zadrożny

  4. Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir T. Atanassov

  5. WIT - Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

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Büyüközkan, G., Güler, M. (2018). A Hesitant Fuzzy Based TOPSIS Approach for Smart Glass Evaluation. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-319-66830-7_30

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  • DOI: https://doi.org/10.1007/978-3-319-66830-7_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66829-1

  • Online ISBN: 978-3-319-66830-7

  • eBook Packages: EngineeringEngineering (R0)

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