A New Circular Intuitionistic Fuzzy MCDM: A Case of Covid-19 Medical Waste Landfill Site Evaluation

Since 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...

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Bibliographic Details
Published in2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI) pp. 000143 - 000148
Main Authors Cakir, Esra, Tas, Mehmet Ali, Ulukan, Ziya
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.11.2021
Subjects
Circular intuitionistic fuzzy set
Coronaviruses
COVID-19
Covid-19 pandemic
Decision making
Fuzzy sets
landfill site selection
multi-criteria decision making
Pandemics
Sensitivity analysis
Task analysis
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ISSN2471-9269
DOI10.1109/CINTI53070.2021.9668563

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Summary:Since 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.
ISSN:2471-9269
DOI:10.1109/CINTI53070.2021.9668563