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

^*Corresponding author for this work

Department of Industrial Engineering

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

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	64-72
Number of pages	9
ISBN (Print)	9783031091728
DOIs	https://doi.org/10.1007/978-3-031-09173-5_9
Publication status	Published - 2022
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey Duration: 19 Jul 2022 → 21 Jul 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	504 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2022
Country/Territory	Turkey
City	Izmir
Period	19/07/22 → 21/07/22

Bibliographical note

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

Keywords

Fuzzy MCDA
Fuzzy multicriteria sorting
Fuzzy numbers
Fuzzy ranking methods
Fuzzy TOPSIS

Access to Document

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

Cite this

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; Vol. 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. editor / 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).

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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 multicriteria sorting, Fuzzy numbers, Fuzzy ranking methods, Fuzzy TOPSIS",

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",

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

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

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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, vol. 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; Vol. 504 LNNS).

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

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.

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KW - Fuzzy multicriteria sorting

KW - Fuzzy numbers

KW - Fuzzy ranking methods

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A2 - Sari, Irem Ucal

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A2 - Cebi, Selcuk

PB - Springer Science and Business Media Deutschland GmbH

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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, editors, 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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Keywords

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