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Combining the previous measure of evidence to educational entrance examination

Maseleno, A. and Huda, M. and Siregar, M. and Ahmad, R. and Hehsan, A. and Haron, Z. and Ripin, M. N. and Ihwani, S. S. and Jasmi, K. A. (2017) Combining the previous measure of evidence to educational entrance examination. Journal of Artificial Intelligence, 10 (3). pp. 85-90. ISSN 1994-5450

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Abstract

Background and Objective: Educational entrance examination refers to the extent in selecting the student to enroll through admission into educational institution. It has an entire procedure administered to achieve from primary to higher education. However, not many researches were conducted using mathematical theory of evidence. This study aims to investigate the examination process about the admission into educational institutions using mathematical theory of evidence. Materials and Methods: The assessment on student's entrance examination through the effectiveness of Dempster-Shafer theory can be viewed with its significant contribution by combining the previous measure of evidence. Eight student's entrance examination results were proposed. Results: The result reveals that there were some significant findings in assessing the student's entrance examination using mathematical theory of evidence. Those were obtained degrees of belief of Computer Science with 76.4% for student 1, Computer Science with 64.2% for student 2, Computer Science with 75.4% for student 3, Computer Science with 80.3% for student 4, Computer Science with 67.4% for student 5, Computer Science with 57.1% for student 6, Islamic Studies with 26.3% for student 7, Computer Science with 62.5% for student 8. Conclusion: In this research, mathematical theory of evidence has been successfully developed to assess student's entrance examination and displaying the result of identification process.

Item Type:Article
Uncontrolled Keywords:Mathematical theory of evidence, Measure of evidence
Subjects:L Education > LB Theory and practice of education > LB2300 Higher Education
Divisions:Islamic Civilisation
ID Code:76430
Deposited By: Fazli Masari
Deposited On:30 Apr 2018 21:21
Last Modified:30 Apr 2018 21:21

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