IoT Adoption for Smart Cities Waste Management using Pythagorean Fuzzy MEREC-SWARA-ARAS Method

IF 0.8 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Pub Date : 2024-11-10 DOI:10.1007/s40010-024-00902-x

Rishikesh Chaurasiya, Divya Jain

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Abstract

Internet of things (IoT) plays a vital part in improving the value of life and achieving sustainability. Innovations can use technology to manage the increasingly waste problems in newly created smart cities. The goal of this study is to develop a hybrid MCDM framework, which analyses various deferred criteria, for the adoption of smart city waste management techniques in economies like India. This article presents a new hybrid MCDM method on the PF-MEREC and Stepwise Weight Assessment Ratio Analysis (SWARA) approaches. To do this, the objective and subjective weights are assessed by MEREC, SWARA model and the Additive Ratio Assessment approach is employed to rank the options on the Pythagorean fuzzy set. Thereafter, the presented approach is applied to identify the best IoT technique for SCWM. Next, a comparative discussion and analysis are submitted to display the reasonableness and sustainability of the evolved method to rank SCWM alternatives.

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利用毕达哥拉斯模糊 MEREC-SWARA-ARAS 方法实现物联网应用于智能城市废物管理

物联网（IoT）在提高生活价值和实现可持续发展方面发挥着至关重要的作用。创新可以利用技术来管理新建智慧城市中日益严重的废物问题。本研究的目标是开发一个混合 MCDM 框架，分析各种递延标准，以便在印度等经济体中采用智慧城市废物管理技术。本文在 PF-MEREC 和逐步权重评估比率分析 (SWARA) 方法的基础上提出了一种新的混合 MCDM 方法。为此，通过 MEREC 和 SWARA 模型对客观和主观权重进行评估，并采用相加比率评估法对毕达哥拉斯模糊集上的选项进行排序。然后，应用所介绍的方法确定 SCWM 的最佳物联网技术。接下来，将进行比较讨论和分析，以说明 SCWM 替代方案排序方法的合理性和可持续性。

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