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采用完全一致性和扩展 MABAC 方法评估无机固体废物管理技术。

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

机构信息

Department of Mathematics, Bharathiar University, Coimbatore, 641 046, Tamilnadu, India.

ICRIOS - The Invernizzi Centre for Research in Innovation, Organization, Strategy and Entrepreneurship, Bocconi University - Department of Management and Technology, 25Milano, Via Sarfatti, MI, 20136, Italy.

出版信息

Environ Sci Pollut Res Int. 2024 Feb;31(7):9981-9991. doi: 10.1007/s11356-023-29195-0. Epub 2023 Aug 15.

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.

摘要

人口和工业的增长推动了产品的消费,而这反过来又导致城市固体废物(MSW)的产量急剧上升。由于缺乏分配给废物管理的资源,城市无机固体废物(ISW)呈指数级增长,对环境和健康造成了巨大压力。为了解决这些问题,需要实施可持续的废物管理策略,以减少环境影响,提高废物收集和处理效率。我们的工作目标是通过多准则决策(MCDM)分析和确定印度处理 ISW 的最有效技术。该技术需要根据各种相互竞争和相互作用的标准选择最合适的替代方案。开发了一种名为 FULL COnsistency Method(FUCOM)和 Multi-Attributive Border Approximation area Comparison(MABAC)的融合决策模型,该模型基于区间值 q-rung 正交对偶模糊集(IV q-ROF)。最后,进行了比较分析以证明系统的稳健性。

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