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一个集成的CRITIC和EDAS模型,使用语言T球形模糊的Hamacher聚合运算符,并将其应用于集团决策

Zunaira Rasool¹, Shahid Hussain Gurmani², Shafiullah Niazai³

¹Department of Botany, College of Life Sciences, Government College University, Allama Iqbal Road, Faisalabad, 38000, Pakistan.

Scientific reports

|February 19, 2025

概括

本研究引入了一种新的决策模型,用于选择绿色技术,解决数据不确定性. 该模型将语言T球模糊集与CRITIC和EDAS方法集成在一起,以进行可靠的绿色技术评估.

科学领域:

环境科学环境科学
决策科学决策科学决策科学
信息科学信息科学信息科学

背景情况:

绿色技术旨在通过先进的方法来最大限度地减少环境影响.
评估绿色技术涉及复杂的,经常有冲突的标准,如性能,经济和可持续性.
新兴技术带来了数据缺口,挑战了传统的评估技术.

研究的目的:

为绿色技术选择提出一个动态的多标准组决策 (MCGDM) 模型.
在评估绿色技术时,应对不确定性和相互矛盾的标准所带来的挑战.
制定一个强大的框架,在采用绿色技术方面做出明智决策.

主要方法:

通过标准间相关性 (CRITIC) 方法和基于距离平均解决方案 (EDAS) 技术的评估整合标准的重要性.
使用语言T球模糊 (LT-SF) 环境来处理不确定性和模糊性.
为LT-SF号码开发新的Hamacher聚合运算符,以合成专家的评估.

主要成果:

为权重标准和排名替代品开发了一个新的LT-SF-CRITIC-EDAS模型.
该模型成功地应用于现实世界的绿色技术选择场景.
敏感性分析和比较评估证实了该模型的可行性和可靠性.

结论:

拟议的LT-SF-CRITIC-EDAS模型为复杂条件下的绿色技术评估提供了一种优越的方法.
该方法有效处理新兴技术固有的数据缺口和相互矛盾的标准.
这项研究推进了可持续技术选择和实施的决策工具.

关键词:

这就是CRITIC方法.EDAS 方法,优化优化哈马切尔的聚合运营商.语言T-球的模糊集合.多个标准的集团决策.

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