PMID- 38386159
OWN - NLM
STAT- Publisher
LR  - 20240222
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
DP  - 2024 Feb 22
TI  - An identification of optimal waste disposal method for dumpsite remediation using 
      the Fermatean fuzzy multi-criteria decision-making method.
LID - 10.1007/s11356-024-32366-2 [doi]
AB  - Improperly 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.
CI  - (c) 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 
      part of Springer Nature.
FAU - Jeon, Jeonghwan
AU  - Jeon J
AD  - Department of Industrial and Systems Engineering / Engineering Research Institute 
      (ERI), Gyeongsang National University, JinJu, Republic of Korea.
FAU - Manirathinam, Thangaraj
AU  - Manirathinam T
AD  - Department of Mathematics, Bharathiar University, Coimbatore, 641 046, India.
FAU - Geetha, Selvaraj
AU  - Geetha S
AD  - Department of Mathematics, Bharathiar University, Coimbatore, 641 046, India.
FAU - Narayanamoorthy, Samayan
AU  - Narayanamoorthy S
AD  - Department of Mathematics, Bharathiar University, Coimbatore, 641 046, India.
FAU - Salimi, Mehdi
AU  - Salimi M
AUID- ORCID: 0000-0002-6537-6346
AD  - Mathematics Department, Kwantlen Polytechnic University, Surrey, BC, Canada. 
      mehdi.salimi@kpu.ca.
FAU - Ahmadian, Ali
AU  - Ahmadian A
AD  - Decisions Lab, Mediterranea University of Reggio Calabria, Reggio Calabria, 
      Italy.
AD  - Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, 
      Turkey.
LA  - eng
PT  - Journal Article
DEP - 20240222
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
SB  - IM
OTO - NOTNLM
OT  - Contamination and its effects
OT  - Dumpsites rehabilitation
OT  - Fermatean fuzzy preferences
OT  - Multi-criteria decision-making
OT  - Municipal solid waste management
OT  - Uncontrolled dumpsites
EDAT- 2024/02/22 12:42
MHDA- 2024/02/22 12:42
CRDT- 2024/02/22 11:10
PHST- 2023/06/14 00:00 [received]
PHST- 2024/02/03 00:00 [accepted]
PHST- 2024/02/22 12:42 [medline]
PHST- 2024/02/22 12:42 [pubmed]
PHST- 2024/02/22 11:10 [entrez]
AID - 10.1007/s11356-024-32366-2 [pii]
AID - 10.1007/s11356-024-32366-2 [doi]
PST - aheadofprint
SO  - Environ Sci Pollut Res Int. 2024 Feb 22. doi: 10.1007/s11356-024-32366-2.