一种双极直觉的模糊决策模型,用于选择结核病的有效诊断方法
Ezhilarasan Natarajan1, Felix Augustin1, Ranganathan Saraswathy2
1Division of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India.
Acta tropica
|January 27, 2024
概括
这项研究引入了一种新的决策支持系统,使用双极直觉的模糊逻辑来改善结核病 (TB) 诊断. 该系统将唾液测试确定为诊断结核病的最准确方法.
科学领域:
- 医学诊断 医学诊断 医学诊断
- 计算智能是一种计算智能.
- 模糊的集合理论 模糊的集合理论
背景情况:
- 结核病 (TB) 由于症状与其他呼吸道疾病重叠而带来诊断挑战.
- 准确及时诊断结核病对于有效治疗和公共健康至关重要.
研究的目的:
- 开发一种用于诊断结核病 (TB) 的新决策支持系统.
- 在双极直觉的模糊环境中评估诊断方法.
- 提高结核病诊断的准确性和效率.
主要方法:
- 在双极直觉主义模糊框架内整合PROMETHEE和ARAS技术.
- 开发一种新的模糊决策支持系统.
- 应用一个defuzzification算法来将模糊的分数转换为清晰的值.
主要成果:
- 拟议的决策支持系统将唾液测试 (T3) 确定为结核病最有效的诊断方法.
- 对比和敏感性分析证实了开发的方法的效率.
- 该系统为评估结核病诊断策略提供了一个强大的方法.
结论:
- 双极直觉模糊集与PROMETHEE-ARAS技术相结合,为评估结核病诊断方法提供了有价值的工具.
- 开发的系统显示了提高结核病诊断准确性的巨大潜力.
- 这种方法为医学诊断中的决策提供了定量框架.
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