在通信通道分配的结构操作下,模糊的发生率着色
Angmo Deji1, Qian Wang2, Li Zhou3
1Colleage of Mathematics and Computer Science, Northwest Minzu University, 730030, Lanzhou, China.
Scientific reports
|August 6, 2025
概括
本研究确定了强产品模糊发病率图 (FIG) 的模糊发病率染色数 (FICN). 这项研究为关键图形类型提供了精确的FICN值,以及用于高效计算的算法,帮助无线通道分配.
科学领域:
- 图形理论 图形理论
- 模糊的数学 模糊的数学
- 离散的数学 离散的数学
背景情况:
- 模糊事件图 (FIG) 扩展了复杂系统的模糊图理论.
- 模糊事件配色 (FIC) 将颜色分配给模糊事件,模糊事件配色号 (FICN) 是所需的最小颜色.
- 了解FICN对于涉及不确定性和资源分配的应用至关重要.
研究的目的:
- 调查强产品 (SP) 操作在无花果上的属性.
- 导出基本FIG类型 (路径,循环,完整,恒星) 的SP图的确切FICN值.
- 开发一个有效的算法来计算SP图的FICN.
主要方法:
- 对强产品操作的系统分析.
- 在特定的SP图形结构上推导FICN的数学公式.
- 为FICN计算开发和应用专门的算法.
主要成果:
- 准确的FICN值是由路径,循环,完整和星模糊发生率图的强度产物得出的.
- 提出了一种新的算法,以有效计算这些SP图的FICN.
- 通过无线道分配示例来证明FICN的实际实用性.
结论:
- 该研究成功地描述了强产品模糊发病率图的FICN.
- 开发的算法为计算FICN提供了一个有效的工具.
- 这些发现提供了一种可靠的方法来优化通信系统中的资源配置.
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