INTERNATIONAL JOURNAL OF ENGINEERING, SCIENCE AND - Volume 6, Issue 8,, December 2017 (Special Issue)

Pages: 110-118

Date of Publication: 24-Dec-2017

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Implementation Of Fuzzy Petri Nets Using Data Mining Rules For

Predicting Student Performance

Author: S. MeherTaj? A. Kumaravel??

Category: Engineering, Science and Mathematics

Abstract:

Fuzzy Petri net models are very helpful for specifying the expert systems with imprecise description of rules. An expert system based on Fuzzy rule based systems are common, and specification of those systems by tools like Petri nets encourage more research work nowadays. The theme of this paper is to construct an iterative scheme using data mining techniques for extracting optimal set of rules. The best accuracies of such models are devised. The result obtained is used for generating the optimal rule base for predicting the Student performance results.

Keywords: Fuzzy Petri net; WEKA; Fuzzy rule base; Classifications; Data Mining, and Selected Attributes.