Comparisons between artificial neural networks and fuzzy logic models in forecasting general examinations results

Rusmizi Ab Ghani, Salwani Abdullah, Razali Yaakob

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

MARA Junior Science College (MRSM) Lenggong is one of the educational institutes under Majlis Amanah Rakyat (MARA). Based on the current academic performance and selected criteria of 6A's in the Penilaian Menengah Rendah (PMR, now it is known as PT3), rationally there should be no reason for the failure to achieve excellent results in the Sijil Pelajaran Malaysia (SPM). However, every time the results are announced, the average school achievement grade (GPS) does not meet the performance goals of an average grade of 1.00 for PMR and below 2.00 for SPM, even though it has been in operation for 10 years. Therefore, this research aimed at identifying the influencing factors that affected the students' academic performance. Early prediction is one of the strategies performed in order to improve the students' performance. Neural network and fuzzy logic models are used to realize the accurate prediction based on three factors namely demography, academic and co-curricular activities, including a combination of all three factors. Demography, academic and co-curricular information for the year 2008 to 2010 SPM candidates of MRSM Lenggong are the data sample used. It can be concluded that the prediction outcome using the neural network model shows that the academic factor influences the students' academic performance with the prediction accuracy around 93.65%. Meanwhile, the fuzzy logic model gives an opposite result, where the students' academic performance has also been influenced by the demography factor with an accuracy of 87.00%. Although different techniques yield different results, it is undeniable that the combination of demography and academic factors establishes a solid outcome in identifying the students' present and future academic performances.

Original languageEnglish
Title of host publicationI4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages253-257
Number of pages5
ISBN (Print)9781479979523
DOIs
Publication statusPublished - 24 Aug 2015
Event2nd International Conference on Computer, Communications, and Control Technology, I4CT 2015 - Kuching, Sarawak, Malaysia
Duration: 21 Apr 201523 Apr 2015

Other

Other2nd International Conference on Computer, Communications, and Control Technology, I4CT 2015
CountryMalaysia
CityKuching, Sarawak
Period21/4/1523/4/15

Fingerprint

Fuzzy logic
Students
Neural networks
Global positioning system

Keywords

  • back propagation
  • fuzzy logic
  • neural network
  • Prediction

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Computer Science Applications
  • Software

Cite this

Ab Ghani, R., Abdullah, S., & Yaakob, R. (2015). Comparisons between artificial neural networks and fuzzy logic models in forecasting general examinations results. In I4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding (pp. 253-257). [7219576] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/I4CT.2015.7219576

Comparisons between artificial neural networks and fuzzy logic models in forecasting general examinations results. / Ab Ghani, Rusmizi; Abdullah, Salwani; Yaakob, Razali.

I4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding. Institute of Electrical and Electronics Engineers Inc., 2015. p. 253-257 7219576.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ab Ghani, R, Abdullah, S & Yaakob, R 2015, Comparisons between artificial neural networks and fuzzy logic models in forecasting general examinations results. in I4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding., 7219576, Institute of Electrical and Electronics Engineers Inc., pp. 253-257, 2nd International Conference on Computer, Communications, and Control Technology, I4CT 2015, Kuching, Sarawak, Malaysia, 21/4/15. https://doi.org/10.1109/I4CT.2015.7219576
Ab Ghani R, Abdullah S, Yaakob R. Comparisons between artificial neural networks and fuzzy logic models in forecasting general examinations results. In I4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding. Institute of Electrical and Electronics Engineers Inc. 2015. p. 253-257. 7219576 https://doi.org/10.1109/I4CT.2015.7219576
Ab Ghani, Rusmizi ; Abdullah, Salwani ; Yaakob, Razali. / Comparisons between artificial neural networks and fuzzy logic models in forecasting general examinations results. I4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 253-257
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