Radaev, AlexanderHaktanır, ElifYatsalo, BorisKahraman, Cengiz2023-10-182023-10-182023Radaev, A., Haktanır, E., Yatsalo, B., & Kahraman, C. (2023). Fuzzy multi-criteria sorting models FMAVT-Sort and FTOPSIS-Sort: features and application within the case studies. In International Conference on Intelligent and Fuzzy Systems (pp. 725-734). Cham: Springer Nature Switzerland.9783031397769https://hdl.handle.net/20.500.12939/4160The need to sort alternatives according to ordered categories, especially in problems consisting of a large number of alternatives, makes it effective to use of multi-criteria sorting methods. A family of fuzzy multi-criteria sorting models FMAVT-Sort and FTOPSIS-Sort based on a fuzzy extension of MAVT and TOPSIS methods respectively and the their features are presented. In the developed models, different approaches can be used both for calculating functions of fuzzy numbers and for ranking of fuzzy numbers. Case studies showing the application of the developed models to sort problems related to the Internet of Things and anti-COVID measures are presented.eninfo:eu-repo/semantics/closedAccessFuzzy MAVTFuzzy MCDAFuzzy multi-criteria sortingFuzzy numbersFuzzy ranking methodsFuzzy TOPSISConference Object7597257342-s2.0-85172733247Q4