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

Radaev A., Haktanir E., Yatsalo B., Kahraman C.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.504, pp.64-72 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 504
  • Doi Number: 10.1007/978-3-031-09173-5_9
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.64-72
  • Keywords: Fuzzy MCDA, Fuzzy numbers, Fuzzy ranking methods, Fuzzy TOPSIS, Fuzzy multicriteria sorting, DECISION-MAKING, FLOWSORT, TOPSIS
  • Yıldız Technical University Affiliated: No

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.