一项对新型线性二奥芬模糊拓数及其应用于传染病的研究
Siti Norziahidayu Amzee Zamri1,2, Muhammad Azeem3,4, Muhammad Imran5
1Science and Medicine Foundation Centre, Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300, Kuala Nerus, Terengganu, Malaysia.
The European physical journal. E, Soft matter
|December 1, 2024
概括
这项研究将拓数扩展到线性迪奥芬丁模糊集合 (LDFS) 和图 (LDFG). 研究人员开发了一个决策算法,证明了它在医学诊断应用中的应用.
科学领域:
- 图形理论 图形理论
- 模糊的集合理论 模糊的集合理论
- 优化优化 优化优化
背景情况:
- 线性狄奥芬模糊集 (LDFS) 提供了新的分析能力.
- 最近引入了线性二氧化碳模糊图 (LDFG),将LDFS扩展到图形结构.
- 拓图形理论参数是分配给图形的真实值,对于分析至关重要.
研究的目的:
- 将拓数扩展到线性狄奥芬丁模糊集合 (LDFSs) 的域.
- 通过使用图形理论参数,研究线性二奥法模糊图 (LDFGs) 的边界.
- 根据LDFG参数和LDFSs.开发一个决策算法.
主要方法:
- 扩展清晰图的界限到线性二奥法丁模糊图 (LDFGs).
- 在LDFG内部分析边缘和顶点删除操作.
- 开发和应用一个算法,将LDFG参数与LDFS联系起来,以解决实际问题.
主要成果:
- 已建立的方法扩展拓数到LDFG.
- 在各种行动中调查了LDFG的边界.
- 开发了一个用于决策的功能算法,通过医学诊断验证.
结论:
- 该研究成功地将拓数扩展到LDFG,提供了新的分析工具.
- 开发的算法有效地利用LDFG参数进行决策,特别是在医疗应用中.
- 这项工作将图形理论,模糊集合和优化与实际应用相结合.
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