Role of Fuzzy Set in Students’ Performance Prediction

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2

Abstract

Abstract: We can use educational data mining to predict student’ performance on the basis of different attribute. In this paper, the classification task is used to predict the result of students. Decision tree (DT) learning is one of the most famous practical methods for analytical study. We use DT as prediction method inthis paper. In this paper we propose a model using fuzzy set to predict more accurate result.Fuzzy logic brings in an improvement of analysis aspects due to the elasticity of fuzzy sets formalism. Therefore, we proposed a decision tree on fuzzy set data, which combines ID3 with fuzzy theory.The results are compared to some other popular classification algorithms.

Authors and Affiliations

Mrs. Jyoti Upadhyay , Dr. Pratima Gautam

Keywords

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  • EP ID EP101387
  • DOI -
  • Views 110
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How To Cite

Mrs. Jyoti Upadhyay, Dr. Pratima Gautam (2016). Role of Fuzzy Set in Students’ Performance Prediction. IOSR Journals (IOSR Journal of Computer Engineering), 18(2), 37-41. https://europub.co.uk./articles/-A-101387