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Fuzzy Assessment Methods

机译:模糊评估方法

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摘要

Fuzzy logic due to its nature of characterizing each case with multiple values offers is a rich field of resources covering the assessment of situations characterized by a degree of fuzziness and/or uncertainty. In this paper, we present two different fuzzy assessment models: The Centre of Gravity (COG) model and Trapezoidal Fuzzy Assessment Model (TRFAM). The last one is a new model covering the ambiguous cases being at the boundaries between two successive assessment intervals. An application (students' assessment) is also presented, through which the above methods are compared to each other and also with two traditional assessment methods based on principles of bivalent logic (the calculation of means and of the GPA index). Some useful conclusions are drawn about the characteristics of the above fuzzy assessment models.
机译:由于模糊逻辑具有为每个案例提供多个值的特征,因此它具有丰富的资源领域,涵盖了以模糊程度和/或不确定性为特征的情况评估。在本文中,我们提出了两种不同的模糊评估模型:重心(COG)模型和梯形模糊评估模型(TRFAM)。最后一个是新模型,涵盖了两个连续评估间隔之间边界上的歧义案例。还介绍了一种应用程序(学生评估),通过该应用程序,可以将上述方法相互比较,并且还可以使用基于二价逻辑原理(均值和GPA指数的计算)的两种传统评估方法进行比较。关于上述模糊评估模型的特征,得出了一些有用的结论。

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