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一种用于在可持续智慧城市中对循环经济标准进行优先级排序的神经决策方法。

A neuro decision-making approach for prioritizing circular economy criteria in sustainable smart cities.

作者信息

Kou Gang, Dinçer Hasan, Yüksel Serhat, Alotaibi Fahd S

机构信息

School of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics, Chengdu, 611130, China.

The School of Business, İstanbul Medipol University, Turkey.

出版信息

Heliyon. 2024 Nov 13;10(22):e40354. doi: 10.1016/j.heliyon.2024.e40354. eCollection 2024 Nov 30.

Abstract

Sustainable cities are crucial in establishing effective waste management systems and minimizing environmental pollution. For cities to be sustainable, different aspects need to be considered, such as technological development, clean energy usage, and energy efficiency. However, taking the most important actions is essential because of the very high cost that will arise, and this situation causes countries to have budget deficit problems. In other words, there is a significant need for a new study that makes a priority analysis with respect to the circular economy-based criteria for smart cities. Accordingly, this study aims to identify significant factors to improve sustainable cities using a novel decision-making model. First, essential determinants of the smart cities were evaluated with the decision-making trial and evaluation laboratory (DEMATEL) technique based on quantum spherical fuzzy sets (QASH) and facial expressions of the decision-makers. Second, smart investment choices for sustainable cities were ranked according to the technique for order preference by similarity to ideal solution (TOPSIS) approach. In addition, comparative ranking results were constructed together with sensitivity analysis. The ranking results of the extended VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) are compared with the extended TOPSIS results and their sensitivity analysis results. The main contribution of this study is that appropriate priority strategies were determined by using an original methodology to have sustainable cities. A new methodology is developed in this study by the name of neuro decision-making. According to the comparative evaluation and sensitivity analysis, the findings are found as reliable and relevant. Resource efficiency is the most critical factor in improving sustainable cities. Constructing sustainable buildings is the most appropriate strategy for increasing smart cities. Necessary actions should be taken to minimize unconscious water and energy use. New technological developments need to be quickly adapted to businesses. In this way, it would be possible to perform the same work amount using less energy and water. For this purpose, it is important both to provide the necessary training and to emphasize the importance of these issues in television advertisements.

摘要

可持续城市对于建立有效的废物管理系统和最大限度地减少环境污染至关重要。为了使城市具有可持续性,需要考虑不同方面,如技术发展、清洁能源使用和能源效率。然而,由于将产生的成本非常高,采取最重要的行动至关重要,这种情况导致各国出现预算赤字问题。换句话说,迫切需要一项新的研究,该研究针对基于循环经济的智慧城市标准进行优先级分析。因此,本研究旨在使用一种新颖的决策模型来确定改善可持续城市的重要因素。首先,基于量子球面模糊集(QASH)和决策者的面部表情,运用决策试验与评价实验室(DEMATEL)技术对智慧城市的基本决定因素进行了评估。其次,根据理想解相似排序法(TOPSIS)对可持续城市的智能投资选择进行了排序。此外,还构建了比较排序结果并进行了敏感性分析。将扩展的VIseKriterijumska Optimizacija I Kompromisno Resenje(VIKOR)的排序结果与扩展的TOPSIS结果及其敏感性分析结果进行了比较。本研究的主要贡献在于,通过使用一种原创方法来确定适当的优先战略,以实现城市的可持续发展。本研究开发了一种名为神经决策的新方法。根据比较评估和敏感性分析,研究结果被认为是可靠和相关的。资源效率是改善可持续城市的最关键因素。建设可持续建筑是增加智慧城市的最合适策略。应采取必要行动,尽量减少无意识的水和能源使用。新技术发展需要迅速应用于企业。这样,就可以用更少的能源和水完成相同的工作量。为此,提供必要的培训并在电视广告中强调这些问题的重要性都很重要。

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