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A medical diagnosis based on interval-valued fuzzy sets

机译:基于区间值模糊集的医学诊断

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摘要

In this paper, we propose a fuzzy diagnostic method based on interval-valued intuitionistic fuzzy sets. For this purpose, we developed an interval-valued interview chart with interval fuzzy degree assigned to the relation among symptoms and diseases, and utilized the interval-valued intuitionistic fuzzy weighted arithmetic average operator to aggregate fuzzy information from the symptoms. In addition, we suggest a diagnosis measure using the occurrence proportion of patient's symptoms. Finally, an illustrative example is given to demonstrate its practicality and effectiveness.
机译:本文提出了一种基于区间直觉模糊集的模糊诊断方法。为此,我们开发了一种间隔值访谈表,其中将间隔模糊度分配给症状与疾病之间的关系,并利用间隔值直觉模糊加权算术平均算子从症状中汇总模糊信息。另外,我们建议使用患者症状发生率的诊断措施。最后,给出一个说明性的例子来证明其实用性和有效性。

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