无信号拉普拉斯能源意识的电动汽车电池决策基于直观的模糊图表
A Mohamed Atheeque1, S Sharief Basha1
1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Science progress
|December 18, 2024
概括
这项研究引入了一种新的方法,使用直观的模糊图形和偏好关系来优化电动汽车电池. 该方法增强了选择环保电池的决策,改善了电动汽车的性能和采用.
科学领域:
- 决策科学 决策科学
- 图形理论 图形理论
- 材料科学 材料科学 材料科学
背景情况:
- 模糊图 (FG) 为模拟不确定性提供了一个框架,直觉模糊图 (IFG) 为现实世界决策中的模糊性提供了增强的能力.
- 电动汽车 (EV) 电池技术对于性能,续航里程和效率至关重要,由于成本和技术限制,在采用方面面临挑战.
- 集团决策过程对于评估和选择最佳选择至关重要,特别是在复杂的领域,如电动汽车电池选择.
研究的目的:
- 开发一个使用直觉模糊偏好关系 (IFPR) 和直觉模糊图 (IFG) 的决策框架.
- 通过利用先进的模糊图表技术,优化电动汽车 (EV) 电池的选择.
- 加强选择环保和高性能电动汽车电池的集团决策过程.
主要方法:
- 在直观模糊图文中应用无信号拉普拉斯能量 (SLE).
- 使用直观模糊加权平均 (IFWA) 和直观模糊加权平均几何 (IFWAG) 运算符.
- 整合IFPR和IFG以模拟专家偏好和电池选择中的不确定性.
主要成果:
- 提出的方法有效地捕捉了现实世界决策场景中固有的模两可和不确定性.
- 通过应用IFG和IFPR来优化电动汽车电池选择.
- 该方法为在电动汽车电池技术方面的明智投资决策提供了坚实的基础.
结论:
- 直觉模糊图和偏好关系为复杂的决策问题提供了强大的工具,特别是在选择电动汽车电池时.
- 开发的战略提高了集团决策过程的准确性和可靠性.
- 这项研究有助于加速采用电动汽车,通过促进优质电池技术的选择.
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