一种新的循环直觉模糊MCDM——以新冠肺炎医疗垃圾填埋场评价为例

2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2021-11-18 DOI:10.1109/CINTI53070.2021.9668563

Esra Çakır, M. Taş, Z. Ulukan

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引用次数: 4

摘要

自2019冠状病毒病大流行开始以来，保护性医疗产品的使用大幅增加。使用过的产品产生的废物对公众健康构成威胁。为医疗废物选择可供选择的填埋地点是一项具有挑战性的任务，因为需要考虑若干标准。模糊多准则决策(MCDM)方法可以克服这一问题。本研究对新冠肺炎大流行医疗废弃物的填埋场评价进行了研究。决策者利用直觉模糊数进行决策，提出了一种新的环形直觉模糊MCDM方法。作为对文献的贡献，本研究通过提出去模糊化函数扩展了循环直觉模糊集(C-IFS)在MCDM方法中的使用。该方法的应用旨在指导未来的C-IFS MCDM方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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 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.

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2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)

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