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

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Endüstri Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Editörler	Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	725-734
Sayfa sayısı	10
ISBN (Basılı)	9783031397769
DOI'lar	https://doi.org/10.1007/978-3-031-39777-6_85
Yayın durumu	Yayınlandı - 2023
Etkinlik	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey Süre: 22 Ağu 2023 → 24 Ağu 2023

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	759 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

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???event.eventtypes.event.conference???	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	22/08/23 → 24/08/23

Bibliyografik not

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

Belgeye Erişim

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

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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; Hac. 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. editör / 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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title = "Fuzzy Multi-criteria Sorting Models FMAVT-Sort and FTOPSIS-Sort: Features and Application Within the Case Studies",

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.",

keywords = "Fuzzy MAVT, Fuzzy MCDA, Fuzzy multi-criteria sorting, Fuzzy numbers, Fuzzy ranking methods, Fuzzy TOPSIS",

author = "Alexander Radaev and Elif Haktanir and Boris Yatsalo and Cengiz Kahraman",

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",

year = "2023",

doi = "10.1007/978-3-031-39777-6_85",

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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, hac. 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; Hac. 759 LNNS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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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, editörler, 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