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Students Performance Evaluation: A fuzzy logic reasoning approach

FEATURED PAPER

By Ashwani Kharola, Swarnima Kunwar, Gopa B Choudhury

Institute of Technology Management
Defence Research & Development Organisation
Ministry of Defence, Government of Indi

India


Abstract

This paper presents a new fuzzy logic reasoning based approach for performance evaluation of students in school or college. The attributes considered for evaluation cover academic as well as personality traits of the students. A Stage-wise fuzzy reasoning approach has been used to eliminate the issues of rule explosion. The comparison between fuzzy and traditional average technique shows the advantage of weightage allocation in fuzzy approach. The modeling and simulation was performed in Matlab-Simulink using fuzzy logic toolbox. The simulation results proved the validity of proposed technique.

Keywords: Fuzzy, FIS, MF’s, Mamdani, Simulink, FLC

1.0 Introduction

Jamsandekar and Mudholkar (2013) performed the performance evaluation of students based on fuzzy inference technique. They proposed an approach which is a combination of two membership functions. The fuzzy approach was further compared with traditional methods for evaluating the variance. Yadav and Singh (2011) proposed a fuzzy expert system for evaluation of student academic performance. They also proposed several approaches using fuzzy logic techniques to provide practical method for evaluating students’ performance and comparison with existing statistical methods. (Jyothi et al. 2014) proposed a fuzzy expert system for evaluating teachers overall performance based on fuzzy logic techniques. The authors presented an optimization evolution model for evaluating academic performance of the faculty’s based on teaching activity series of qualitative reports.

Nunes and Neill (2011) described an experiment where team performance was evaluated using fuzzy logic reasoning approach. The results showed that intelligent fuzzy controllers were able to perceive and evaluate the Team’s performance. Ingoley and Bakal (2012) proposed a fuzzy based system which considers vagueness of question paper besides accuracy rate, complexity and importance. The proposed technique provides more transparent and fairer results to all students. (Yadav et al. 2014) presented a New fuzzy expert system (NFES) for performance evaluation of students. The authors proposed several approaches using fuzzy logic techniques to provide a practical method for evaluating student academic performance and compared the results with existing statistical methods. Yildiz and Baba (2014) proposed a new approach based on fuzzy decision support systems for evaluation of students’ performance. The model was based on fuzzy multi-criteria method for evaluating students’ performance in laboratory activities. The results showed better performance of fuzzy systems over classical systems.

(Patil et al. 2012) presented a fuzzy based approach to evaluate performance of student using numeric grading without involving the human judgmental component. The results show the potential application of the fuzzy logic in the student performance evaluation. Arora and Saini (2013) presented a Neural network model for modeling of academic profile of students. The model predicts students’ performance based on their qualitative observations. They used Probabilistic neural network (PNN) which was a feed-forward neural network. PNN needs less time to determine network architecture and train the network. Saleh and Kim (2009) proposed a methodology for evaluation of students answer scripts using fuzzy systems. The proposed system applies fuzzification, fuzzy inference and defuzzification while considering the difficulty, importance and complexity of question. (Wang et al. 2014) developed an adaptive item selection strategy mechanism to choose the student’s current estimated ability. Their mechanism shows how student and teachers uses some useful information to assist in their future teaching and guidance.

In this paper a new methodological approach using fuzzy logic reasoning has been proposed for performance evaluation of students. This study considers academic as well as personality traits of students for better evaluation of their performances. The attributes considered for overall evaluation of students were academics, communication, behavior, attendance and extra-curriculum activities. The study illustrates an advantage of different weightage allocation to different attributes using fuzzy logic. In this study more weightage is given to academic performance as compared to other attributes. A Matlab-Simulink model has been built and the results were further compared to traditional average methods. The simulation results are shown with the help of figures and tables which validates the advantages of proposed technique over traditional average techniques.

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About the Authors

 

pmwj38-Sep2015-Kharola-PHOTO1Ashwani Kharola

Ministry of Defence
Govt. of India

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Ashwani Kharola received B.Tech (with Honors) in Mechanical Engineering from Dehradun Institute of Technology, Dehradun in 2010 and M.Tech in CAD/CAM & Robotics from Graphic Era University, Dehradun in 2013. He obtained Silver Medal in M.Tech for (2011-13) batch. Currently he is working as Senior Research Fellow (SRF) in Institute of Technology Management (ITM), One of the premier training institutes of the Defence Research & Development Organisation (DRDO), Ministry of Defence, Govt. of India. He is also pursuing a PhD in Mechanical Engineering from Graphic Era University (Deemed University), Dehradun. He has published 22 National/International papers in peer reviewed ISSN Journals and IEEE Conferences. His current areas of work includes Fuzzy logic reasoning, Adaptive Neuro-fuzzy inference system (ANFIS) control, Neural Networks, Mathematical Modeling & Simulation of variants of non-linear Inverted pendulum(IP)systems etc.He can be contacted at [email protected]


pmwj38-Sep2015-Kharola-PHOTO2 KUNWARSwarnima Kunwar

Ministry of Defence
Govt. of India

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SwarnimaKunwar
received B.Tech (with Honors) in Electronics and Communication Engineering from GB Pant Engineering College, Pauri in 2014. Currently she is working as Junior Research Fellow (JRF) in Institute of Technology Management (ITM), One of premier training institute of Defence Research & Development Organisation (DRDO), Ministry of Defence, Govt. of India. Her research areas include digital communication and antenna & propagation. She can be contacted at [email protected]

 

pmwj38-Sep2015-Kharola-PHOTO3 CHOUDHURYGopa B. Choudhury

Ministry of Defence
Govt. of India

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Gopa B Choudhury
is B.Tech in Chemical Engineering from University of Calcutta, West Bengal and MBA in Human Resource Management (HRM). Presently she is working as a Scientist-‘E’ at Institute of Technology Management (ITM), Defence Research & Development Organisation (DRDO), Ministry of Defence, Govt. of India. She can be contacted at [email protected]