维纳指数在运输网络流量的直观模糊粗略图表中的应用
Noorjahan Shaik1, Sharief Basha Shaik2
1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Scientific reports
|March 21, 2025
概括
本研究探讨了在直观模糊粗略图 (IFRG) 中的维纳指数和连接指数. 这些拓索引对于分析复杂网络和在各种科学领域表示不确定的数据非常有价值.
科学领域:
- 图形理论 图形理论
- 网络分析 网络分析
- 数据科学数据科学数据科学
背景情况:
- 在各种科学领域中,拓索引至关重要.
- 维纳指数是基于地理距离的著名图形理论度量.
- 直觉模糊粗略图 (IFRG) 提供了一个处理不确定性的框架.
研究的目的:
- 在IFRG中调查维纳指数和平均维纳指数.
- 在IFRG的背景下分析连接指数.
- 探索IFRG的其他基于距离和度的拓索引.
主要方法:
- 对IFRG的维纳和平均维纳指数的定义和计算.
- 在IFRG中开发和应用连接指数.
- 分析不同拓索引之间的关系.
主要成果:
- 在IFRG中建立了维纳和平均维纳指数的详细计算.
- 介绍了IFRG.中的连接指数的例子和结果.
- 证明了IFRG在模拟不准确数据方面的实用性.
结论:
- 建议的拓索引对IFRG有效.
- 对于不确定的和不准确的信息,IFRG提供了一个强大的模型.
- 维纳指数在运输网络流量分析中具有潜在的应用.
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