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Updated: Jun 16, 2025

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优化道路安全:使用格子顺序复杂的线性二白色模糊软集对机动车辆进行综合分析
K Ashma Banu1, J Vimala1, Nasreen Kausar2
1Department of Mathematics, Alagappa University, Tamil Nadu, India.
PeerJ. Computer science
|August 15, 2024
概括
这项研究为现实世界的问题引入了格子有序的复杂线性二奥芬模糊软集. 该研究将这种新的框架应用于选择自适应巡航控制 (ACC) 系统,提高汽车安全.
科学领域:
- 数学 数学 是一个数学.
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
背景情况:
- 模糊集合理论被延伸为格子有序的复杂线性二奥芬模糊软集合.
- 现有的理论在复杂的,基于偏好的参数集中缺乏适用性.
研究的目的:
- 为了引入和研究格子有序的复杂线性二奥芬模糊软集.
- 在选择自适应巡航控制 (ACC) 系统时,应用此框架.
- 为了提高汽车安全和道路法规.
主要方法:
- 探索新型模糊集扩展的基本运算和属性.
- 为ACC系统选择开发一种特殊的假设.
- 对现实汽车安全问题的方法说明.
主要成果:
- 拟议的格子有序复杂线性二奥芬模糊软集为模糊集理论提供了有价值的扩展.
- 该方法有效地解决了当代驾驶条件中的挑战.
- 在选择最佳ACC系统以提高道路安全方面已证明适用性.
结论:
- 新的模糊集框架为复杂的决策问题提供了强大的工具.
- 在ACC系统选择中的应用验证了其在提高汽车安全方面的有效性.
- 这项研究为改善驾驶条件和减少碰撞提供了指导.
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