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A Fuzzy Expert System to Diagnose Diseases with Neurological Signs in Domestic Animal

机译:一种模糊专家系统,用于诊断家畜神经症状的疾病

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One of the important subjects regarding to human health is animal health and domestic products health undoubtedly are the most basic health factors, although, there are complete and correct information in the disease of animal with neurological involvement, however, generally defined neurological diseases only on the basis of clinical symptoms is not so simple as so proximity neurological signs and in most instance veterinarians will doubt in diagnose. In this article according to important of subject we use the fuzzy logic model approach to determine and calculate lack or involvement of each the possible disease with neurological signs and sufficiently reduced natural Uncertainty regarding the diagnosis of disease.
机译:关于人类健康的重要科目之一是动物健康和国内产品的健康无疑是最基本的健康因素,尽管有神经疾病的动物疾病中存在完整和正确的信息,但通常只定义了神经系统疾病 临床症状的基础并不是如此简单,因为所以近期神经系统迹象,而且在大多数情况下,兽医将怀疑诊断。 在本文中,根据主题的重要性,我们使用模糊逻辑模型方法来确定和计算每个可能疾病的缺乏或参与神经症状,并且充分降低了关于疾病诊断的自然不确定性。

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