Fuzzy approach for student's performance analyzer / Mohd Iqbal Radzuan

As it is a routine activity, the tedious and dreary process of evaluating student's academic records will be a problem for academic advisor to recognize their student's intelligence ability in academic. This major difficulty leads to ineffective evaluation of student's academic rec...

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Main Author: Radzuan, Mohd Iqbal
Format: Thesis
Language:English
Published: Faculty of Computer and Mathematical Sciences 2007
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/1642/
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author Radzuan, Mohd Iqbal
author_facet Radzuan, Mohd Iqbal
author_sort Radzuan, Mohd Iqbal
building UiTM Institutional Repository
collection Online Access
description As it is a routine activity, the tedious and dreary process of evaluating student's academic records will be a problem for academic advisor to recognize their student's intelligence ability in academic. This major difficulty leads to ineffective evaluation of student's academic records which have to consider many criteria in order to analyze them. Sometimes, it could resuh to unreliable analyzed result. The objective of this research is to apply the concept of fuzzy logic and fuzzy inferencing in Howard Gardner's tiieory of multiple intelligence in order to determine student's intelligence level. Concept of fuzzy logic and fuzzy inferencing is proved to be well suited to the problem of this nature as it is capable of capturing the imprecision of human reasoning and judgments. These two concepts have been implemented in the prototype of Student's Performance Analyzer. The prototype is enable to assist academic advisor by analyze the student's academic record and determine their intelligence level in three different areas: spatial, logic and arithmetic, and linguistic. The prototype also is able to provide efficient and reliable analyzing result compared to human's analyzing process. As for the recommendation, the decision support system is one of the enhancement solutions to the research by combining concept of fiizzy logic, fazzy inferencing and decision support system architecture.
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institution Universiti Teknologi MARA
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spelling uitm-16422019-07-22T01:53:56Z https://ir.uitm.edu.my/id/eprint/1642/ Fuzzy approach for student's performance analyzer / Mohd Iqbal Radzuan Radzuan, Mohd Iqbal Electronic Computers. Computer Science As it is a routine activity, the tedious and dreary process of evaluating student's academic records will be a problem for academic advisor to recognize their student's intelligence ability in academic. This major difficulty leads to ineffective evaluation of student's academic records which have to consider many criteria in order to analyze them. Sometimes, it could resuh to unreliable analyzed result. The objective of this research is to apply the concept of fuzzy logic and fuzzy inferencing in Howard Gardner's tiieory of multiple intelligence in order to determine student's intelligence level. Concept of fuzzy logic and fuzzy inferencing is proved to be well suited to the problem of this nature as it is capable of capturing the imprecision of human reasoning and judgments. These two concepts have been implemented in the prototype of Student's Performance Analyzer. The prototype is enable to assist academic advisor by analyze the student's academic record and determine their intelligence level in three different areas: spatial, logic and arithmetic, and linguistic. The prototype also is able to provide efficient and reliable analyzing result compared to human's analyzing process. As for the recommendation, the decision support system is one of the enhancement solutions to the research by combining concept of fiizzy logic, fazzy inferencing and decision support system architecture. Faculty of Computer and Mathematical Sciences 2007 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/1642/1/TD_MOHD%20IMRAN%20MD%20YUSOP%20CS%2007_5%20P01.pdf Radzuan, Mohd Iqbal (2007) Fuzzy approach for student's performance analyzer / Mohd Iqbal Radzuan. (2007) Degree thesis, thesis, Universiti Teknologi MARA.
spellingShingle Electronic Computers. Computer Science
Radzuan, Mohd Iqbal
Fuzzy approach for student's performance analyzer / Mohd Iqbal Radzuan
title Fuzzy approach for student's performance analyzer / Mohd Iqbal Radzuan
title_full Fuzzy approach for student's performance analyzer / Mohd Iqbal Radzuan
title_fullStr Fuzzy approach for student's performance analyzer / Mohd Iqbal Radzuan
title_full_unstemmed Fuzzy approach for student's performance analyzer / Mohd Iqbal Radzuan
title_short Fuzzy approach for student's performance analyzer / Mohd Iqbal Radzuan
title_sort fuzzy approach for student's performance analyzer / mohd iqbal radzuan
topic Electronic Computers. Computer Science
url https://ir.uitm.edu.my/id/eprint/1642/