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一个新的毕达哥拉斯模糊的FUCA驱动的MCGDM算法用于评估绿色经济导向的企业可持续性
1Tibet University, xizang, 850000, China. yhsm1008@163.com.
Scientific reports
|December 19, 2025
概括
在绿色经济中评估企业的可持续性是复杂的. 一个新的毕达哥拉斯模糊FUCA (PyF-FUCA) 模型增强了多标准集团决策 (MCGDM) 以进行准确的可持续发展绩效评估.
科学领域:
- 可持续性科学 可持续性科学
- 决策分析 决策分析
- 绿色经济绿色经济
背景情况:
- 由于不确定性和信息差距,评估企业的可持续性是一项挑战.
- 传统方法在多标准集团决策 (MCGDM) 中扎着含糊性.
研究的目的:
- 提出一个新的毕达哥拉斯模糊FUCA (PyF-FUCA) 驱动的MCGDM模型.
- 加强在绿色经济中对企业可持续性绩效的评估.
- 解决决策过程中的不确定性和模两可.
主要方法:
- 利用毕达哥拉斯模糊集 (PyFS) 来增强FUCA算法.
- 实施了多标准集团决策 (MCGDM) 框架.
- 进行了深入的案例研究,采用了15个替代方案,9个标准和4个决策者.
主要成果:
- 绿色时代的全球市场被认为是最可持续的.
- 敏感性分析证实了不同标准和决策者权重的排名稳定性.
- 与现有方法相比,PyF-FUCA模型表现出优越的强度和灵活性.
结论:
- 该PyF-FUCA模型有效地衡量企业在不确定性中的可持续性表现.
- 开发的模糊方法论为管理者和决策者提供了一个强大的工具.
- 这种方法有助于将企业战略与绿色经济概念相结合.
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