利用相关系数概念对辅导教师进行分类

Kiky Meliya, Azmi Nazra, Nova Noliza Bakar
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引用次数: 0

摘要

图像模糊集是对直觉模糊集概念的发展。图片模糊集的模型是在面对人类意见的情况下建立的,人类意见涉及更多的答案:是、弃权或中立、否和拒绝。因此,为了应对这种情况,提出了相关系数的概念,用于计算旨在对不同对象进行分组的图片模糊集之间的相关程度。图片模糊集中使用的相关性概念使用了两个公式。而在决定一个问题时,我们使用 Xu 等人[11]提出的图片模糊集的分组方法。分类有四种形式。
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Classification of Tutoring Teachers Uses the Concept of The Correlation Coefficient
Picture Fuzzy Set is a development of the intuitionistic fuzzy set concept. Picture Fuzzy Set is modeled in a situation when facing human opinion which involves more answers: yes, abstention or neutral, no and rejection. Therefore, to deal with situations like this, the concept of the proposed correlation coefficient is used to calculate the degree of correlation between picture fuzzy set that aim to group different objects. The correlation concept used in picture fuzzy set uses two formulas. And in deciding on a problem, we use the grouping method for picture fuzzy sets introduced by Xu et al [11]. There are four forms of classification.
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