Analysis of municipal solid waste as a source of energy production using fuzzy decision system
- Authors
- Thilagasree, Chakkarapani Sumathi; Jayakumar, Thippan; Suvitha, Krishnan; Sandra, Michael; Pamucar, Dragan; Simic, Vladimir; Jeon, Jeonghwan
- Issue Date
- Sep-2024
- Publisher
- Elsevier BV
- Keywords
- Criteria importance through inter-criteria correlation; Fermatean fuzzy; Fuzzy logic; Multi-criteria decision making; Municipal solid waste
- Citation
- Applied Soft Computing Journal, v.163
- Indexed
- SCIE
SCOPUS
- Journal Title
- Applied Soft Computing Journal
- Volume
- 163
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/71259
- DOI
- 10.1016/j.asoc.2024.111917
- ISSN
- 1568-4946
1872-9681
- Abstract
- One of the major causes of global environmental deterioration is the enormous amount of municipal solid waste generated as a result of increasing industrialization and expanding populations. Managing the limited land resources of metropolitan areas and the growing volumes of waste generated as a result of development has become increasingly challenging for decision makers. Anaerobic digestion, gasification, pyrolysis, and incineration are among methods that help to derive energy from the various types of municipal wastes. Using these processes, waste is converted into energy, which is then used to produce power. It reduces the burden on landfills and helps in the fight against pollution in the environment. This article proposes the optimal municipal waste that can be used to derive energy using fuzzy multiple criteria decision making. This area of operational research focuses on achieving the best outcomes in intricate situations with a variety of indicators, competing goals, and requirements. This tool is gaining popularity in the sector of energy extraction because it allows decision makers to make judgments while considering all criteria and objectives at the same time. Finally, sensitive and comparative study is provided to determine the sturdiness of the proposed system. © 2024 Elsevier B.V.
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