Application Fuzzy For Measuring Lecturer Performance Using Matlab Software

Alwendi, Andi Saputa Mandopa
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Abstract

Research by Lecturer, Graha University Nusantara Padangsidimpuan, Simrittabumas Data still in Guidance Category for Upgrade to Intermediate Category are required to apply. For this, we need an application that can calculate and document the lecturer's performance in the resulting research. The purpose of this study is to apply fuzzy logic with Mamdani method to evaluate the research achievements of lecturers at Graha Nusantara Padangsidimpuan University. This study uses Mamdani fuzzy logic. The fuzzy Mamdani method is a method of mapping the input space to the output space. This method is a mathematical framework for expressing uncertainty, ambiguity, inaccuracy, lack of information, and partial truth. The phase of research using the Mamdani method is to create input variables from Sinta-accredited papers, Simlitabmas Grant papers, and papers from international and national journals. Find the maximum and minimum values for each variable. Create a fuzzy set using the Mamdani method. Building assertions with defuzzification using Matlab.
应用Matlab软件模糊评价讲师绩效
格拉哈大学讲师Nusantara Padangsidimpuan的研究,simmrittabumas的数据仍处于中级类别升级的指导类别中,需要申请。为此,我们需要一个应用程序,可以计算和记录讲师在最终研究中的表现。本研究的目的是运用模糊逻辑与Mamdani方法来评估巴东西丁普大学讲师的研究成果。本研究采用Mamdani模糊逻辑。模糊Mamdani方法是一种将输入空间映射到输出空间的方法。这种方法是表达不确定性、歧义、不准确、缺乏信息和部分真理的数学框架。使用Mamdani方法的研究阶段是从sinta认可的论文、Simlitabmas Grant论文以及来自国际和国内期刊的论文中创建输入变量。找出每个变量的最大值和最小值。使用Mamdani方法创建一个模糊集。用Matlab用去模糊化构建断言。
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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