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

机译:诊断家畜神经系统疾病的模糊专家系统

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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主题之一是动物健康,而国内产品健康无疑是最基本的健康因素,尽管在涉及神经系统疾病的动物疾病中有完整和正确的信息,但是,通常仅在动物疾病上定义神经系统疾病。临床症状的依据并不像邻近神经系统症状那么简单,在大多数情况下,兽医会对诊断产生怀疑。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种可能的疾病的缺失或受累,这些疾病可能具有神经系统症状,并且充分减少了疾病诊断的自然不确定性。

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