Integrated MCDM Approaches for Exploring the Ideal Therapeutic Plastic Disposal Technology: Probabilistic Hesitant Fuzzy Domain

The probabilistic hesitant fuzzy set (PHFS) is a useful extended version of the hesitant fuzzy set (HFS), which allows decision-makers greater freedom in espousing their preferences through the use of hesitant evidence in the real DM method. As the implications for individuals and global concerns ha...

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Bibliographic Details
Published in:Water, air, and soil pollution air, and soil pollution, 2023-02, Vol.234 (2), p.71, Article 71
Main Authors: Jaisankar, Ramasamy, Murugesan, Veeramuthu, Narayanamoorthy, Samayan, Ahmadian, Ali, Suvitha, Krishnan, Ferrara, Massimiliano, Kang, Daekook
Format: Article
Language:English
Subjects:
Analysis
Atmospheric Protection/Air Quality Control/Air Pollution
Climate Change/Climate Change Impacts
Decision making
Developing countries
Earth and Environmental Science
Entropy
Environment
Environmental monitoring
Feasibility studies
Fuzzy sets
Health care
Hydrogeology
LDCs
Medical wastes
Methods
Plastic debris
Qualitative analysis
Refuse and refuse disposal
Soil Science & Conservation
Waste disposal
Water Quality/Water Pollution
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Summary:The probabilistic hesitant fuzzy set (PHFS) is a useful extended version of the hesitant fuzzy set (HFS), which allows decision-makers greater freedom in espousing their preferences through the use of hesitant evidence in the real DM method. As the implications for individuals and global concerns have grown, efficient clinical diagnosis of medical waste has been a major challenge, particularly in developing countries. Medical waste can be disposed of in a variety of ways. The essential thing is to decide which strategies work best. The optimal healthcare plastic waste disposal (HCPWD) option is a MCDM method involving a wide range of qualitative characteristics. The MCDM technique (ARAS) is then described, whereby the criterion weights are assessed using the recommended entropy weighted method (EWM) proportion and score function in order to increase the process utilisation. Moreover, the above-described approach is used to address a real-world problem by determining the optimal treatment option for healthcare waste (HCW) disposal. Finally, a feasibility analysis is given to support the stated viewpoint on HCPWD options being prioritised.
ISSN:0049-6979
1573-2932
DOI:10.1007/s11270-022-05970-6