模糊的双极加权相关系数在决策问题中的应用
Saima Mustafa1, Sadia Mahmood1, Zabidin Salleh2
1Departemnt of Mathematics and Statistics, PMAS-Arid Agriculture University Rawalpindi, 46300, Pakistan.
PloS one
|December 19, 2023
概括
这项研究引入了一种新的皮肤疾病诊断方法,使用双相模糊软套 (BFSS) 来处理复杂的症状. 该技术通过有效管理双重和模糊信息来提高疾病识别的准确性.
科学领域:
- 医学诊断 医学诊断 医学诊断
- 模糊的集合理论 模糊的集合理论
- 计算智能是一种计算智能.
背景情况:
- 疾病诊断是复杂的,依赖于迹象,症状和测试.
- 症状双极症在准确的医学诊断方面存在挑战.
- 现有的方法可能会在含糊不清或双重信息方面扎.
研究的目的:
- 提出一种用于皮肤疾病诊断的新技术.
- 用双极模糊软集 (BFSSs) 来解决双极两极症的症状.
- 通过整合模糊和软集概念来提高诊断精度.
主要方法:
- 开发一种使用双极模糊软集 (BFSS) 的新技术.
- 应用相关系数来测量BFSS用于诊断目的.
- 引入BFSS的加权相关系数.
主要成果:
- 拟议的BFSS有效地处理诊断中的双重和模糊信息.
- 新的决策方法解决了模两可和不清楚的诊断信息.
- 数字计算验证了拟议策略与现有策略的有效性.
结论:
- 双极模糊软套为医疗诊断提供了一个强大的框架.
- 提出的基于相关系数的方法提高了皮肤疾病的诊断准确度.
- 这种方法在复杂的医疗场景中提供了更精确的决策工具.
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