Classification of non-pharmaceutical anti-COVID ınterventions based on novel FTOPSIS-sort models
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Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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.
Açıklama
Anahtar Kelimeler
Fuzzy MCDA, Fuzzy Multicriteria Sorting, Fuzzy Numbers, Fuzzy Ranking Methods, Fuzzy TOPSIS
Kaynak
Lecture Notes in Networks and Systems
WoS Q Değeri
N/A
Scopus Q Değeri
Q4
Cilt
504
Sayı
Künye
Radaev, A., Haktanir, E., Yatsalo, B., Kahraman, C. (2022). Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models. In International Conference on Intelligent and Fuzzy Systems (pp. 64-72). Springer, Cham.
