A Genetic-Fuzzy Based Mathematical Model to Evaluate The Distance Education Students’ Academic Performance


 Procedia - Social and Behavioral Sciences   55  ( 2012 )  409 – 418 

1877-0428 © 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of The Association of Science, Education and Technology

doi: 10.1016/j.sbspro.2012.09.519 

a Informatics Department,Yildiz Technical University,Istanbul,Turkey 
b Electronics and Communications Engineering Department, Yildiz Technical University, Istanbul,Turkey 

c Informatics Department, Istanbul University, Istanbul,Turkey 

Abstract 

Available online at www.sciencedirect.com

© 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of The Association of Science, 
Education and Technology Open access under CC BY-NC-ND license.

Open access under CC BY-NC-ND license.

http://creativecommons.org/licenses/by-nc-nd/3.0/
http://creativecommons.org/licenses/by-nc-nd/3.0/


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1. Introduction 

2. Related Works 



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3. Fuzzy Logic and Genetic Algorithm 

3.1 Fuzzy Logic 



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3.2 Genetic Algorithm 

4. Method and Results 



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4.1 Classic Fuzzy Model 



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4.1.1 Determining Intervals 

4.1.2 Determining Membership Functions  

Membership Function Accuracy (%)



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Membership Function Accuracy (%)

4.2 Genetic-Fuzzy Model 

 



416   Osman Yıldız et al.  /  Procedia - Social and Behavioral Sciences   55  ( 2012 )  409 – 418 



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5. Conclusion  

Acknowledgements 

References 

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418   Osman Yıldız et al.  /  Procedia - Social and Behavioral Sciences   55  ( 2012 )  409 – 418 

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