Classification of Non-pharmaceutical Anti-COVID Interventions Based on Novel FTOPSIS-Sort Models
International Conference on Intelligent and Fuzzy Systems, INFUS 2022
; 504 LNNS:64-72, 2022.
Article
in English
| Scopus | ID: covidwho-1971518
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. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
International Conference on Intelligent and Fuzzy Systems, INFUS 2022
Year:
2022
Document Type:
Article
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