基于区间值q-rung正交模糊COPRAS的固体废物管理多属性群决策

Faizan Ahemad, Ahmad Zaman Khan, M. Mehlawat, Pankaj Gupta, Sankar Kumar Roy
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摘要

本文将COPRAS(复比例评价)方法扩展到区间值q-rung正形模糊数(IVq-ROFNs)中,以解决多属性群体决策(MAGDM)问题。提出了一种新的IVq-ROFNs距离度量方法,并对其性质进行了探讨。将此距离度量用于改进的决策者权重确定方法中。提出了一种加权投影优化模型来评估完全未知属性的权重。评价值的投影由正理想解和负理想解定义,通过考虑两个目标的方向角来确定它们之间的相似度。印度城市在更好的固体废物管理基础设施方面的排名问题,采用了基于综合指标的方法来解决,这些指标包括废物回收、温室气体排放、废物产生、填埋废物、回收率、废物能源利用率和堆肥废物。数值比较、敏感性分析和其他相关分析进行验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-attribute group decision-making for solid waste management using interval-valued q-rung orthopair fuzzy COPRAS
In this paper, the COPRAS (Complex Proportional Assessment) method is ex- tended for interval-valued q-rung orthopair fuzzy numbers (IVq-ROFNs) to solve multi-attribute group decision-making (MAGDM) problems. A novel distance measure for IVq-ROFNs is proposed, and its properties are also probed. This distance measure is used in an improved weights determination method for decision-makers. A weighted projection optimization model is developed to evaluate the completely unknown attributes' weights. The projection of assessment values is defined by the positive and negative ideal solutions, which determine the resemblance between two objects by considering their directional angle. An Indian cities' ranking problem for a better solid waste management infrastructure is solved using the proposed approach based on composite indicators, like recycling waste, greenhouse gas emissions, waste generation, land filling waste, recycling rate, waste to energy rate, and composting waste. Numerical comparisons, sensitivity analysis, and other relevant analyses are performed for validation.
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