基于功能共振分析方法和层次模糊推断树的社会技术系统中的风险评估
Ashish Kumar1, Sudhir Kumar Singh2, Biswajit Samanta2
1Department of Mining Engineering, Indian Institute of Technology, Kharagpur, 721302, India. aksaini4@kgpian.iitkgp.ac.in.
Scientific reports
|July 3, 2025
概括
本研究介绍了复杂的社会技术系统的先进风险评估方法,整合了新的软计算和自然语言处理技术,以提高安全性和预防事故.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 风险管理 风险管理
背景情况:
- 传统的风险评估方法与复杂的社会技术系统作斗争.
- 限制包括捕捉系统复杂性和人类操作员角色.
研究的目的:
- 为复杂的社会技术系统制定全面的风险评估方法.
- 整合功能共振分析,软计算,NLP和多标准决策.
主要方法:
- 使用Z-numbers来计算时间和精度的变化.
- 采用Z-TOPSIS和等级模糊推理系统.
- 应用文本分类用于使用近距离错误数据计算放大因子.
- 分析了关键合,路径和中心性的程度.
主要成果:
- 开发了一种全新的综合风险评估框架.
- 在炼厂的阳极更换操作中证明了有效性.
- 确定了关键功能和影响途径.
结论:
- 拟议的方法提供了一个结构化,数据驱动的工具,用于复杂系统中的风险评估.
- 实施可以提高安全性,减少事故,防止经济损失.
- 增强对系统相互作用和可变性传播的理解.
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