Jeon, JeonghwanManirathinam, ThangarajGeetha, SelvarajNarayanamoorthy, SamayanSalimi, MehdiAhmadian, Ali2024-05-252024-05-25202400944-13441614-749910.1007/s11356-024-32366-22-s2.0-85185958310https://doi.org/10.1007/s11356-024-32366-2https://hdl.handle.net/20.500.14517/1203Improperly managed wastes that have been dumped in landfills over the years pose various challenges, but they also offer potential benefits. The feasibility of recycling such waste depends on the type of wastes, the condition of dumpsites, and the technology implemented for disposal. The selection of an alternative waste disposal method from the many available options for dumpsite remediation is a complex decision-making process among experts. The primary aim of this study is to assist in an extended multi-criteria decision-making (MCDM) method to reduce complexity in the proposed dumpsite remediation problem influenced by multiple criteria and to identify the optimal waste disposal method. Data uncertainties are managed with the proposed Fermatean fuzzy preference scale, and the importance of all socio-economic criteria is assessed using the full consistency method (FUCOM). The final ranking results of the weighted aggregated sum product assessment (WASPAS) method identify that the Waste-to-Energy (WtE) process could play a significant role in the disposal of land-filled unprocessed wastes, promoting sustainable waste management. Meanwhile, the methodology explores the idea that financial and logistical constraints may limit the feasibility of large-scale recycling efforts. This combination of environmental science and decision science addresses real-world challenges, helping municipal solid waste management authorities implement sustainable waste management practices.eninfo:eu-repo/semantics/closedAccessMunicipal solid waste managementUncontrolled dumpsitesContamination and its effectsDumpsites rehabilitationFermatean fuzzy preferencesMulti-criteria decision-makingArticleQ1Q1WOS:00117164190000838386159