在可持续制造系统的背景下,评估人工智能支持的ESG战略的决策支持框架
1Department of Computer Science and Informatics, Taibah University, Madinah, 42353, Saudi Arabia. aahjohani@taibahu.edu.sa.
Scientific reports
|July 4, 2025
概括
本研究引入了一个模糊逻辑方法来评估环境,社会和治理 (ESG) 战略. 可再生能源整合成为最重要的ESG战略,突出了AI.
科学领域:
- 环境科学 环境科学
- 企业管理 企业管理
- 决策科学 决策科学 决策科学
背景情况:
- 全球环境和社会挑战需要有效的可持续发展战略.
- 环境,社会和治理 (ESG) 标准引导组织采取负责任的做法.
- 评估ESG策略是复杂的,因为多维和专家判断的不确定性.
研究的目的:
- 引入一种创新的方法来评估ESG战略,使用基于模糊的多标准决策.
- 排名关键的ESG策略,包括人工智能驱动的预测分析,可再生能源整合和可持续供应链优化.
- 为ESG战略评估提供一个透明的框架,包括模糊逻辑.
主要方法:
- 使用了Fuzzy TOPSIS,这是一个多标准决策工具.
- 评估了七个关键的ESG策略:人工智能驱动的预测分析,可再生能源整合,智能废物管理系统,透明治理的区块链,人工智能增强的劳动力和社区发展,可持续供应链优化和生态友好型创新的生成人工智能.
- 嵌入模糊逻辑来处理决策中的不确定性.
主要成果:
- 可再生能源整合被确定为最受欢迎的ESG战略.
- 人工智能驱动的预测分析和可持续供应链优化被紧密排名,强调数据智能和运营效率.
- 该研究强调了人工智能在指导工业环境中可持续选择方面的战略价值.
结论:
- 开发的基于模糊的方法为评估ESG策略提供了一个强大的框架.
- 调查结果为公司,政策制定者和利益相关者提供了洞察力,以提高ESG绩效.
- 这项研究有助于对人工智能驱动的可持续性评估知识的不断增长.
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