Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models

Alexander Radaev; Elif Haktanir; Boris Yatsalo; Cengiz Kahraman

doi:10.1007/978-3-031-09173-5_9

Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models

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

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

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

2 Atıf (Scopus)

Özet

Assigning alternatives to predefined ordered categories under multicriteria conditions is the essence of multi-criteria sorting problematic. The family of fuzzy multi-criteria sorting models with the common name FTOPSIS-Sort are introduced based on the fuzzy extension of Multi-Criteria Decision Analysis (MCDA) ordinary method TOPSIS with the use of different approaches to assess functions of fuzzy numbers and different fuzzy ranking methods. The features of adjusting Fuzzy TOPSIS (FTOPSIS) models to sorting problematic are presented. The developed FTOPSIS-Sort models are implemented for multi-criteria sorting of non-pharmaceutical interventions against COVID-19.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	64-72
Sayfa sayısı	9
ISBN (Basılı)	9783031091728
DOI'lar	https://doi.org/10.1007/978-3-031-09173-5_9
Yayın durumu	Yayınlandı - 2022
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey Süre: 19 Tem 2022 → 21 Tem 2022

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	504 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

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???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2022
Ülke/Bölge	Turkey
Şehir	Izmir
Periyot	19/07/22 → 21/07/22

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

Belgeye Erişim

10.1007/978-3-031-09173-5_9

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Radaev, A., Haktanir, E., Yatsalo, B., & Kahraman, C. (2022). Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, A. C. Tolga, & S. Cebi (Eds.), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference (pp. 64-72). (Lecture Notes in Networks and Systems; Hac. 504 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09173-5_9

Radaev, Alexander ; Haktanir, Elif ; Yatsalo, Boris et al. / Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models. Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; A. Cagri Tolga ; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 64-72 (Lecture Notes in Networks and Systems).

@inproceedings{bba0d446e37a44af86c52716ad30dab0,

title = "Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models",

abstract = "Assigning alternatives to predefined ordered categories under multicriteria conditions is the essence of multi-criteria sorting problematic. The family of fuzzy multi-criteria sorting models with the common name FTOPSIS-Sort are introduced based on the fuzzy extension of Multi-Criteria Decision Analysis (MCDA) ordinary method TOPSIS with the use of different approaches to assess functions of fuzzy numbers and different fuzzy ranking methods. The features of adjusting Fuzzy TOPSIS (FTOPSIS) models to sorting problematic are presented. The developed FTOPSIS-Sort models are implemented for multi-criteria sorting of non-pharmaceutical interventions against COVID-19.",

keywords = "Fuzzy MCDA, Fuzzy TOPSIS, Fuzzy multicriteria sorting, Fuzzy numbers, Fuzzy ranking methods",

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

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2022 ; Conference date: 19-07-2022 Through 21-07-2022",

year = "2022",

doi = "10.1007/978-3-031-09173-5_9",

language = "English",

isbn = "9783031091728",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "64--72",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Tolga, {A. Cagri} and Selcuk Cebi",

booktitle = "Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference",

address = "Germany",

}

Radaev, A, Haktanir, E, Yatsalo, B & Kahraman, C 2022, Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, AC Tolga & S Cebi (eds), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. Lecture Notes in Networks and Systems, hac. 504 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 64-72, International Conference on Intelligent and Fuzzy Systems, INFUS 2022, Izmir, Turkey, 19/07/22. https://doi.org/10.1007/978-3-031-09173-5_9

Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models. / Radaev, Alexander; Haktanir, Elif; Yatsalo, Boris et al.
Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; A. Cagri Tolga; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. p. 64-72 (Lecture Notes in Networks and Systems; Hac. 504 LNNS).

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

TY - GEN

T1 - Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models

AU - Radaev, Alexander

AU - Haktanir, Elif

AU - Yatsalo, Boris

AU - Kahraman, Cengiz

PY - 2022

Y1 - 2022

N2 - Assigning alternatives to predefined ordered categories under multicriteria conditions is the essence of multi-criteria sorting problematic. The family of fuzzy multi-criteria sorting models with the common name FTOPSIS-Sort are introduced based on the fuzzy extension of Multi-Criteria Decision Analysis (MCDA) ordinary method TOPSIS with the use of different approaches to assess functions of fuzzy numbers and different fuzzy ranking methods. The features of adjusting Fuzzy TOPSIS (FTOPSIS) models to sorting problematic are presented. The developed FTOPSIS-Sort models are implemented for multi-criteria sorting of non-pharmaceutical interventions against COVID-19.

AB - Assigning alternatives to predefined ordered categories under multicriteria conditions is the essence of multi-criteria sorting problematic. The family of fuzzy multi-criteria sorting models with the common name FTOPSIS-Sort are introduced based on the fuzzy extension of Multi-Criteria Decision Analysis (MCDA) ordinary method TOPSIS with the use of different approaches to assess functions of fuzzy numbers and different fuzzy ranking methods. The features of adjusting Fuzzy TOPSIS (FTOPSIS) models to sorting problematic are presented. The developed FTOPSIS-Sort models are implemented for multi-criteria sorting of non-pharmaceutical interventions against COVID-19.

KW - Fuzzy MCDA

KW - Fuzzy TOPSIS

KW - Fuzzy multicriteria sorting

KW - Fuzzy numbers

KW - Fuzzy ranking methods

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U2 - 10.1007/978-3-031-09173-5_9

DO - 10.1007/978-3-031-09173-5_9

M3 - Conference contribution

AN - SCOPUS:85135003487

SN - 9783031091728

T3 - Lecture Notes in Networks and Systems

SP - 64

EP - 72

BT - Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Tolga, A. Cagri

A2 - Cebi, Selcuk

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2022

Y2 - 19 July 2022 through 21 July 2022

ER -

Radaev A, Haktanir E, Yatsalo B, Kahraman C. Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Tolga AC, Cebi S, editörler, Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. Springer Science and Business Media Deutschland GmbH. 2022. p. 64-72. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-09173-5_9

Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models

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