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Circular Intuitionistic Fuzzy Sets in Multi Criteria Decision Making

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11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021 (ICSCCW 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 362))

Abstract

Collaborating businesses are expected to be mutually beneficial and act as a single entity. It is possible to achieve the goals thanks to the businesses that come together in an industrial symbiosis network. Two (or more) businesses benefit in an industrial symbiosis relationship. The selection of enterprises in which industrial symbiosis can be established is a difficult task due to the different criteria that must be considered. In this study, the assessment of companies for industrial symbiosis is examined. The alternatives are evaluated with circular intuitionistic fuzzy numbers according to the criteria by experts, and a new circular intuitionistic fuzzy MCDM approach is developed. In addition to the existing literature, this study contributes to the circular intuitionistic fuzzy sets by proposing a new score function. This application is intended to guide future circular intuitionistic fuzzy MCDM approaches.

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Acknowledgements

“This work has been supported by the Scientific Research Projects Commission of Galatasaray University under grant number # FBA-2020-1036.”

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Galatasaray University, 34349, Ortakoy/Istanbul, Turkey

    Esra Çakır & Ziya Ulukan

  2. Department of Industrial Engineering, Turkish-German University, 34820, Beykoz/Istanbul, Turkey

    Mehmet Ali Taş

Authors
  1. Esra Çakır
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  2. Mehmet Ali Taş
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  3. Ziya Ulukan
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Corresponding author

Correspondence to Esra Çakır .

Editor information

Editors and Affiliations

  1. Department of Control Systems, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

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

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa Babanli

  6. Department of Mechatronics, Near East University, North Cyprus, Turkey

    Fahreddin M. Sadikoglu

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Çakır, E., Taş, M.A., Ulukan, Z. (2022). Circular Intuitionistic Fuzzy Sets in Multi Criteria Decision Making. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds) 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021. ICSCCW 2021. Lecture Notes in Networks and Systems, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-92127-9_9

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