通过使用双极模糊发病率图表进行最大匹配的应用
Fahad Ur Rehman1, Tabasam Rashid1, Muhammad Tanveer Hussain1
1Department of Mathematics, University of Management and Technology (UMT), Lahore, Pakistan.
PloS one
|August 22, 2023
概括
本研究介绍了双极模糊发生率图 (BFIG) 中的匹配概念,扩展模糊图理论. 研究结果在人员选择和公司内部冲突解决方面提供了实际应用.
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:
- 双极模糊图被扩展到双极模糊发病率图 (BFIGs) 来分析顶点边缘效应.
- 现有的模糊图定理需要适应BFIG.
研究的目的:
- 介绍和调查双边BFIG和一般BFIG中的匹配概念.
- 将现有的模糊图表结果扩展到BFIGs的领域.
- 分析操作,比如在BFIG中增加路径和主要数.
主要方法:
- 在双边BFIG和BFIG中匹配的定义.
- 研究增强路径和匹配主数的研究.
- 将模糊图形定理扩展到BFIG.
主要成果:
- 已建立的定理和结果用于在BFIG中进行匹配.
- 在BFIGs中描述了最大匹配的主数.
- 证明了在BFIG中匹配概念的适用性.
结论:
- 匹配概念有效地应用于BFIG和双边BFIG.
- 该研究为顶点和发病率对模糊最大化问题提供了工具.
- 结果对实际应用有好处,例如员工选择和尽量减少公司损失.
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