Fuzzy Multi-criteria Sorting Models FMAVT-Sort and FTOPSIS-Sort: Features and Application Within the Case Studies

Alexander Radaev; Elif Haktanir; Boris Yatsalo; Cengiz Kahraman

doi:10.1007/978-3-031-39777-6_85

Fuzzy Multi-criteria Sorting Models FMAVT-Sort and FTOPSIS-Sort: Features and Application Within the Case Studies

Alexander Radaev^*, Elif Haktanir, Boris Yatsalo, Cengiz Kahraman

^*Corresponding author for this work

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The need to sort alternatives according to ordered categories, especially in problems consisting of a large number of alternatives, makes it effective to use of multi-criteria sorting methods. A family of fuzzy multi-criteria sorting models FMAVT-Sort and FTOPSIS-Sort based on a fuzzy extension of MAVT and TOPSIS methods respectively and the their features are presented. In the developed models, different approaches can be used both for calculating functions of fuzzy numbers and for ranking of fuzzy numbers. Case studies showing the application of the developed models to sort problems related to the Internet of Things and anti-COVID measures are presented.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Editors	Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	725-734
Number of pages	10
ISBN (Print)	9783031397769
DOIs	https://doi.org/10.1007/978-3-031-39777-6_85
Publication status	Published - 2023
Event	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey Duration: 22 Aug 2023 → 24 Aug 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	759 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Country/Territory	Turkey
City	Istanbul
Period	22/08/23 → 24/08/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Fuzzy MAVT
Fuzzy MCDA
Fuzzy multi-criteria sorting
Fuzzy numbers
Fuzzy ranking methods
Fuzzy TOPSIS

Access to Document

10.1007/978-3-031-39777-6_85

Cite this

Radaev, A., Haktanir, E., Yatsalo, B., & Kahraman, C. (2023). Fuzzy Multi-criteria Sorting Models FMAVT-Sort and FTOPSIS-Sort: Features and Application Within the Case Studies. In C. Kahraman, I. U. Sari, B. Oztaysi, S. Cevik Onar, S. Cebi, & A. Ç. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference (pp. 725-734). (Lecture Notes in Networks and Systems; Vol. 759 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-39777-6_85

Radaev, Alexander ; Haktanir, Elif ; Yatsalo, Boris et al. / Fuzzy Multi-criteria Sorting Models FMAVT-Sort and FTOPSIS-Sort : Features and Application Within the Case Studies. Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. editor / Cengiz Kahraman ; Irem Ucal Sari ; Basar Oztaysi ; Sezi Cevik Onar ; Selcuk Cebi ; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. pp. 725-734 (Lecture Notes in Networks and Systems).

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abstract = "The need to sort alternatives according to ordered categories, especially in problems consisting of a large number of alternatives, makes it effective to use of multi-criteria sorting methods. A family of fuzzy multi-criteria sorting models FMAVT-Sort and FTOPSIS-Sort based on a fuzzy extension of MAVT and TOPSIS methods respectively and the their features are presented. In the developed models, different approaches can be used both for calculating functions of fuzzy numbers and for ranking of fuzzy numbers. Case studies showing the application of the developed models to sort problems related to the Internet of Things and anti-COVID measures are presented.",

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note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference ; Conference date: 22-08-2023 Through 24-08-2023",

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Radaev, A, Haktanir, E, Yatsalo, B & Kahraman, C 2023, Fuzzy Multi-criteria Sorting Models FMAVT-Sort and FTOPSIS-Sort: Features and Application Within the Case Studies. in C Kahraman, IU Sari, B Oztaysi, S Cevik Onar, S Cebi & AÇ Tolga (eds), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Lecture Notes in Networks and Systems, vol. 759 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 725-734, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Istanbul, Turkey, 22/08/23. https://doi.org/10.1007/978-3-031-39777-6_85

Fuzzy Multi-criteria Sorting Models FMAVT-Sort and FTOPSIS-Sort: Features and Application Within the Case Studies. / Radaev, Alexander; Haktanir, Elif; Yatsalo, Boris et al.
Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. ed. / Cengiz Kahraman; Irem Ucal Sari; Basar Oztaysi; Sezi Cevik Onar; Selcuk Cebi; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. p. 725-734 (Lecture Notes in Networks and Systems; Vol. 759 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Radaev A, Haktanir E, Yatsalo B, Kahraman C. Fuzzy Multi-criteria Sorting Models FMAVT-Sort and FTOPSIS-Sort: Features and Application Within the Case Studies. In Kahraman C, Sari IU, Oztaysi B, Cevik Onar S, Cebi S, Tolga AÇ, editors, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Springer Science and Business Media Deutschland GmbH. 2023. p. 725-734. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-39777-6_85