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Practical Expert Diagnosis Model Based On The Grey Relationalanalysis Technique

机译：基于灰色关联分析的实用专家诊断模型

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摘要

Although the diagnosis problems have been widely discussed in various studies and comprehensively utilized in different fields, literatures show that there still are some limitations in practice. To extend the limitation of application, this study proposes a practical expert diagnosis model which mainly adopts the grey relational analysis technique, a data analytic method based on the generalized distance function, to discriminate the normal objects and abnormal objects. The concept of how the normal objects will be always mapped around a reference point in the multi-dimension space is proposed and explained. Thus the abnormal objects can be identified by the judgement of their distances between the mapped abnormal object and the reference point being exceeded a threshold value. Two verification examples, one is the famous iris data set and the other a slope data set from practical case, are adopted to illustrate the feasibility and applicability of the proposed model in which not only the abnormal objects can be easily distinguished, but also the level of severity of abnormalities can be evaluated.
机译：尽管诊断问题已经在各种研究中被广泛讨论并在不同领域得到了综合利用，但是文献表明在实践中仍然存在一些局限性。为了扩大应用范围，本研究提出了一种实用的专家诊断模型，该模型主要采用灰色关联分析技术，一种基于广义距离函数的数据分析方法，以区分正常物体和异常物体。提出并解释了如何在多维空间中始终将法线对象映射到参考点周围的概念。因此，可以通过判断所映射的异常物体与参考点之间的距离超过阈值来识别异常物体。通过两个验证实例，一个是著名的虹膜数据集，另一个是实际案例中的斜率数据集，以说明所提出的模型的可行性和适用性，该模型不仅可以轻松地区分异常物体，而且还可以对物体进行识别。可以评估异常严重程度。

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