EVALUASI KEMAMPUAN DAN PENGHITUNGAN PERINGKAT SISWA MENGGUNAKAN METODE TOPSIS DAN ENTROPY

Muhammad Ghalih, Siti Rohanah
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引用次数: 0

Abstract

Abstract: In this study uses techniques for order preference by similarity to ideal solution (TOPSIS) combined within formation Entropy weight to examine the performance of 5 best students. Calculations in teaching and research and improvement ability reveal the short-term and long-term performance. Exact values and intervals characterize the attribute values in the current model. A comparison and experimental analysis show the applicability, feasibility, effectiveness, and advantages of the proposed method. In this study focus on the TOPSIS and Entropy to calculate the student's performance. First, in this study the rationality of TOPSIS conferring to the standard decision theory. It forms that TOPSIS also has a built-in multi-attribute value meaning that not revealed explicitly. To this point, this has been a unknown feature of TOPSIS. Second, Entropy applied for the decision maker's (DM) behavioral propensity into TOPSIS. Finally, to advance evaluation accuracy of student performance, TOPSIS and Entropy applied to ranking the student with several criteria such as Presence (C1), Assignment (C2), Attitude (C3), Midterm-Exam (C4), and Final Exam (C5).
使用TOPSIS和熵方法评估学生的能力和等级计算
摘要:本研究采用TOPSIS (order preference by similarity to ideal solution)结合编队熵权(formation Entropy weight)对5名优等生的成绩进行考察。在教学科研和改进能力的计算显示短期和长期的表现。精确的值和间隔是当前模型中属性值的特征。对比和实验分析表明了该方法的适用性、可行性、有效性和优越性。本研究主要采用TOPSIS和熵来计算学生的成绩。首先,本研究将TOPSIS的合理性赋予标准决策理论。这就形成了TOPSIS还具有未显式显示的内置多属性值含义。到目前为止,这一直是TOPSIS的一个未知特征。其次,将决策者的行为倾向熵应用到TOPSIS中。最后,为了提高学生表现评估的准确性,TOPSIS和熵应用于学生的几个标准,如存在(C1),作业(C2),态度(C3),期中考试(C4)和期末考试(C5)排名。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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