Integrated MCDM Approaches for Exploring the Ideal Therapeutic Plastic Disposal Technology: Probabilistic Hesitant Fuzzy Domain.
Ramasamy Jaisankar, Veeramuthu Murugesan, Samayan Narayanamoorthy, Ali Ahmadian, Krishnan Suvitha, Massimiliano Ferrara, Daekook Kang
Author Information
Ramasamy Jaisankar: Department of Statistics, Bharathiar University, Coimbatore, 641 046 India.
Veeramuthu Murugesan: Department of Statistics, Bharathiar University, Coimbatore, 641 046 India.
Samayan Narayanamoorthy: Department of Mathematics, Bharathiar University, Coimbatore, 641 046 Tamil Nadu India.
Ali Ahmadian: Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
Krishnan Suvitha: Department of Mathematics, Bharathiar University, Coimbatore, 641 046 Tamil Nadu India.
Massimiliano Ferrara: Department of Law, Economics and Human Sciences, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy.
Daekook Kang: Department of Industrial and Management Engineering, Institute of Digital Anti-aging Healthcare, Inje University, 197 Inje-ro, Gimhae-si, Gyeongsangnam-do 50834 Republic of Korea. ORCID
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.
