Municipal solid waste (MSW) management is a critical aspect of urban planning and public health. As societies strive towards environmental sustainability and socio-economic development, robust techniques to transform waste into energy become paramount. Assessment of waste-to-energy (WTE) techniques is based on a spectrum of criteria that are often vague and imprecise. The current study addresses this multi-criteria group decision-making problem of assessing and evaluating WTE methods for MSW management using q-rung orthopair picture fuzzy (qRPF) numbers. The study proposes an innovative combination of the Defining Interrelationships Between Ranked-criteria (DIBR) and Compromise Ranking of Alternatives from Distance to Ideal Solution (CRADIS) methods. The criteria are assessed using the recently developed DIBR method, while the alternatives are assessed using a popular distance-based method, namely CRADIS. Moreover, new confidence level-based aggregation operators for qRPF numbers are proposed and used to aggregate fuzzy data, while a novel triangular divergence-based distance measure is proposed and used to modify the existing CRADIS method. The results show that anaerobic digestion and pyrolysis are the two most preferred WTE methods for MSW management. An extensive comparative analysis demonstrates the applicability of the proposed methodology, while an exhaustive sensitivity analysis confirms the proposed method’s stability. The results of Spearman’s correlation coefficient validate the model’s practicality. The findings of this research yield significant insights beneficial to policymakers, industry stakeholders, and researchers alike. By implementing sustainable waste management strategies, municipalities can improve recycling rates, minimize landfill use, and promote a cleaner, healthier environment for urban populations.

中文翻译：

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Q-Rung 正交图片模糊环境下基于置信度的决策方法评价城市固废管理


城市固体废物 （MSW） 管理是城市规划和公共卫生的一个重要方面。随着社会努力实现环境可持续性和社会经济发展，将废物转化为能源的强大技术变得至关重要。对垃圾焚烧发电 （WTE） 技术的评估基于一系列标准，这些标准通常模糊且不精确。目前的研究解决了这个多标准群体决策问题，即使用 q-rung 正交对图片模糊 （qRPF） 数字评估和评价用于 MSW 管理的 WTE 方法。该研究提出了定义排序标准之间的相互关系 （DIBR） 和从距离到理想解决方案的替代方案 （CRADIS） 方法的折衷排序的创新组合。这些标准是使用最近开发的 DIBR 方法进行评估的，而替代方案是使用流行的基于距离的方法进行评估，即 CRADIS。此外，提出了新的基于置信度的 qRPF 数字聚合运算符并用于聚合模糊数据，同时提出了一种新的基于三角散度的距离测量并用于修改现有的 CRADIS 方法。结果表明，厌氧消化和热解是 MSW 管理最受欢迎的两种 WTE 方法。广泛的比较分析证明了所提出的方法的适用性，而详尽的敏感性分析证实了所提出的方法的稳定性。Spearman 相关系数的结果验证了该模型的实用性。这项研究的结果为政策制定者、行业利益相关者和研究人员提供了有益的重要见解。 通过实施可持续的废物管理策略，市政当局可以提高回收率，最大限度地减少垃圾填埋场的使用，并为城市居民提供更清洁、更健康的环境。