Cakir, EsraTas, Mehmet AliUlukan, Ziya2025-02-202025-02-202021978-1-6654-2684-82380-85862471-9269https://doi.org/10.1109/CINTI53070.2021.9668563https://hdl.handle.net/20.500.12846/160721st IEEE International Symposium on Computational Intelligence and Informatics -- NOV 18-20, 2021 -- Obuda Univ, Budapest, HUNGARYSince the beginning of the COVID-19 pandemic, the use of protective medical products has tremendously increased. The wastes generated by used products pose a threat to public health. Selection of alternative landfill sites to be determined for medical waste is a challenging task as there are several criteria to consider. Fuzzy multi-criteria decision making (MCDM) approaches can be employed to overcome this problem. In this study, the landfill sites evaluation for Covid-19 pandemic medical waste is investigated. Decision-makers give their judgments with intuitionistic fuzzy numbers and a novel circular intuitionistic fuzzy MCDM approach is developed for evaluating sites. As a contribution to the literature, this study extends the usage of circular intuitionistic fuzzy sets (C-IFS) in MCDM approaches by proposing defuzzification functions. The application of the proposed method is intended to guide future C-IFS MCDM methodologies.eninfo:eu-repo/semantics/openAccessCircular intuitionistic fuzzy setmulti-criteria decision makinglandfill site selectionCovid-19 pandemicConference Object10.1109/CINTI53070.2021.9668563149153WOS:000841514400026