通过图片模糊软图表来进行决策的方法
P Chellamani1, D Ajay1, Said Broumi2
1Department of Mathematics, Sacred Heart College, Tirupattur, 635 601 Tamil Nadu India.
概括
本研究介绍了图片模糊软图,这是一个新的数学框架,结合了图片软集和图形理论. 这种新模型增强了对模糊的现实世界数据的分析,在医学诊断中有应用.
科学领域:
- 数学 数学 是一个数学.
- 图形理论 图形理论
- 模糊的集合理论 模糊的集合理论
背景情况:
- 模糊软图形通过整合模糊软集和图形理论来模拟现实世界的模糊性.
- 现有的模型缺乏对复杂,不确定的数据的增强分析能力.
研究的目的:
- 介绍图片模糊软图的新概念.
- 在这个新的框架中探索基本的属性和操作.
- 展示决策中的实际应用,特别是用于医学诊断.
主要方法:
- 通过将图像软集与图形理论合并,开发了图像模糊软图的理论.
- 定义和分析概念,如图片软图,强大和完整的图片软模糊图.
- 研究了这些图形的各种产品操作和规律性概念.
主要成果:
- 建立了图片模糊软图的基础理论.
- 通过现实世界的场景验证来说明图片模糊软图的实用性.
- 通过使用拟议的图形结构,介绍了COVID-19医学诊断的决策模型.
结论:
- 图像模糊软图为模拟不确定性和模糊性提供了强大的扩展.
- 该框架为各种应用提供了多功能工具,包括医疗决策支持.
- 这项研究为图形理论和应用数学的进一步发展开辟了道路.
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