文章基本信息

标题：Performance Evaluation by Fuzzy Inference Technique
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作者：Shruti S Jamsandekar ; R.R Mudholkar
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：2
页码：158-164
出版社：International Journal of Soft Computing & Engineering
摘要：The education domain offers a fertile ground for many interesting and challenging data mining applications. These applications can help both educators and students, and improve the quality of education. The ability to monitor the progress of student’s academic performance is a critical issue to the academic community of higher learning. The present work intends to approach this problem by taking the advantage of fuzzy inference technique in order to classify student scores data according to the level of their performance In this proposed approach we have performed fuzzification of the input data( students marks) by creating fuzzy inference system(FIS) subject wise, next each FIS output is passed to next level FIS with two inputs, outputs of the final FIS are performance value calculated based on all subject marks with/without lab marks. In the proposed approached a combination of two membership function is carried out (trapezoidal and triangular).The experimental results are compared with traditional evaluation method, it helps in identifying students lying at overlapping section of two class distribution the results also could help educators to monitor the progress and provide timely guidance to students to achieve better performance scor
关键词：Performance Evaluation; Academic Institute; Fuzzy;Classification; Fuzzy Inference