Assessment of inorganic solid waste management techniques using full consistency and extended MABAC method.

Environ Sci Pollut Res Int

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.

Published: February 2024

AI Article Synopsis

  • - Population and industrial growth have significantly increased product consumption, leading to a sharp rise in municipal solid waste (MSW) production, particularly in inorganic solid waste (ISW) due to inadequate waste management resources.
  • - The rising ISW poses environmental and health challenges, highlighting the need for sustainable waste management strategies to minimize these impacts and enhance waste collection and disposal efficiency.
  • - The study aims to identify effective ISW disposal techniques in India through multi-criteria decision-making (MCDM), employing a decision model called FULL COnsistency Method (FUCOM) and Multi-Attributive Border Approximation area Comparison (MABAC) using interval-valued q-rung orthopair fuzzy (IV q-ROF) for

Article Abstract

Population and industrial growth have spiked product consumption, which in turn have caused an abrupt rise in municipal solid waste (MSW) production. Due to the lack of resources allocated to waste management, municipal inorganic solid waste (ISW) has increased exponentially, posing a significant strain on the environment and health. To mitigate these issues, sustainable waste management strategies need to be implemented to reduce environmental impacts and improve waste collection and disposal efficiency. The objective of our work was to analyse and identify the most effective techniques for disposing of ISW in India by employing multi-criteria decision-making (MCDM). This technique entails selecting the most suitable alternative based on a variety of competing and interactive criteria. A fusion decision model named the FULL COnsistency Method (FUCOM) and Multi-Attributive Border Approximation area Comparison (MABAC) based on the interval-valued q-rung orthopair fuzzy (IV q-ROF) was developed. Finally, a comparative analysis was performed to demonstrate the system's robustness.

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Source
http://dx.doi.org/10.1007/s11356-023-29195-0DOI Listing

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