在双极模糊图形和应用中遗忘索引的属性
Shaikh Ibrahim Abdullah1, Sovan Samanta2,3,4,5, Kajal De6
1Department of Mathematics, School of Sciences, Netaji Subhas Open University, Kolkata, West Bengal, 700064, India.
本研究介绍了双极模糊图的F-index (F-index),将拓索引应用扩展到复杂网络. 这项研究证明了F指数的定理,并将其应用于婚姻相容性和基因调节网络.
科学领域:
- 图形理论 图形理论
- 模糊的数学 模糊的数学
- 网络分析 网络分析
背景情况:
- 拓索引以清晰的图形量化网络结构和连接性.
- 清晰图形的局限性需要扩展模糊和双极模糊图形理论.
- 双极模糊图表模型不确定性与积极和消极的意见.
研究的目的:
- 定义和分析双极模糊图的被遗忘指数 (F-指数).
- 在各种双极模糊图形结构中建立F指数的理论性质和边界.
- 探索双极模糊F指数的实际应用.
主要方法:
- 对双极模糊图形的被遗忘指数的定义.
- 在正规和完整的双极模糊图形中开发和证明有关F指数的定理.
- 研究F指数边界及其与其他拓指数的关系.
- 将F指数应用于现实世界的场景.
主要成果:
- 成功定义和表征双极模糊图的F指数.
- 为特定的图形类型 (正规,完整) 建立F指数的定理.
- 在双极模糊图中确定F指数的边界.
- 研究了F指数与其他拓指数之间的关系.
结论:
- F指数为分析双极模糊图提供了一个有价值的工具.
- 该研究提供了理论见解和在诸如兼容性匹配和系统生物学等领域的实际应用.
- 将拓索引扩展到模糊环境中可以提高它们对复杂系统的适用性.
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