BibTeX:

@article{IJIRSTV2I6025,
     title={Performance Assessment for Students Using Different Defuzzification Techniques},
     author={Anjana Pradeep and Jeena Thomas},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={6},
     pages={43--53},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I6025.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The aim of this study is to evaluate the performance of students using a fuzzy expert system. The fuzzy process is based solely on the principle of taking non-precise inputs on the factors affecting the performance of students and subjecting them to fuzzy arithmetic to obtain a crisp value of the performance. The system classifies each student's performance by considering various factors using fuzzy logic. Aimed at improving the performance of fuzzy system, several defuzzification methods other than the built methods in MATLAB have been devised in this system for producing more accurate and quantifiable result. This study provides comparison and in depth examination of various defuzzification techniques like Weighted Average Formula (WAF), WAF-max method and Quality Method (QM). A new defuzzification method named as Max-QM which is extended from Quality method that falls within the general framework is also given and commented upon in this study.

Fuzzy logic, Fuzzy Expert System, Defuzzification, Weighted Average Formula, Quality Method