在单一价值的中性质犹不决的模糊粗聚合信息下,制造业可持续性的新型决策建模
Muhammad Kamran1, Nadeem Salamat1, Shahzaib Ashraf1
1Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology Rahim, Yar Khan 64200, Punjab, Pakistan.
Computational intelligence and neuroscience
|October 16, 2024
概括
一种新的多标准决策方法,使用单值中性感犹不决的模糊粗 (SV-NHFR) 聚合运营商,提高了制造业的可持续性. 这种方法解决了不确定性,并优化了可持续商业实践的选择.
科学领域:
- 运营研究 运营研究
- 决策科学 决策科学 决策科学
- 可持续制造 可持续制造 可持续制造
背景情况:
- 可持续性是一个关键的全球经济问题,许多企业因忽视它而面临损失.
- 现代制造业越来越多地整合了人工智能,物联网和大数据分析等技术,以支持长期可行性.
- 识别和优先考虑促进采用可持续发展的因素对于工业成功至关重要.
研究的目的:
- 开发一个新的多标准决策 (MCDM) 框架,以提高制造业的可持续性.
- 提出新的单值中性学犹模糊粗略 (SV-NHFR) 加权平均和几何聚合运算符.
- 为可持续制造业提供一种选择最佳元素的方法.
主要方法:
- 开发新的SV-NHFR加权平均和几何聚合运算符.
- 这些运营商在多标准决策框架中的应用.
- 一个案例研究,重点关注可持续的制造元件选择.
- 与现有方法和有效性测试进行比较分析.
主要成果:
- 拟议的SV-NHFR聚合运营商有效地解决了决策中的不确定性.
- 开发的方法在可持续制造案例研究中证明了可靠性和有效性.
- 与现有方法相比,该技术提供了更好的决策适应性.
结论:
- 新的SV-NHFR聚合运营商为可持续的制造决策提供了强大的工具.
- 该框架支持将先进技术整合到可持续性采用中.
- 该方法提供了一种可行的解决方案,可以克服当前关于可持续发展的决策方法的局限性.
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