Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham

In the university education system, examination result is one of the factors that contribute to passing and fail in sentence course. The examination questions will measure the understanding and knowledge level of students. However, there are differences in background among computer science diploma l...

Full description

Saved in:

Bibliographic Details
Main Author:	Amir Sham, Norfarhana Syamiza
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Mathematical statistics Probabilities Decision theory Fuzzy decision making Instruments and machines Computer software Software measurement
Online Access:	https://ir.uitm.edu.my/id/eprint/69491/1/69491.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.69491
record_format	uketd_dc
spelling	my-uitm-ir.694912022-10-31T08:24:19Z Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham 2017-01 Amir Sham, Norfarhana Syamiza Mathematical statistics. Probabilities Decision theory Fuzzy decision making Instruments and machines Electronic Computers. Computer Science Computer software Development. UML (Computer science) Expert systems (Computer science). Fuzzy expert systems Software measurement In the university education system, examination result is one of the factors that contribute to passing and fail in sentence course. The examination questions will measure the understanding and knowledge level of students. However, there are differences in background among computer science diploma level students. Some of students come from regular schools and some of them are from technical secondary schools that have been exposed with programming subject. Thus, their knowledge higher than others. Therefore, Fuzzy Expert System (FES) for Evaluate Programming is built. FES is a good decision making model that able to represent the expert programming knowledge in a system. The goal of this system is to develop FES that can help lecturers to provide the question paper that consider of all student skills and knowledge. This system is used by lecturers that teach programming course. Data to implement the FES system is the type level of control structure in programming question paper that contributes to the level of the question. This system will perform a several steps to get the result which are fuzzification of the input, perform the rule based process, rule aggregation and defuzzification process to produce the percentage level of the question. The result shows that the FES algorithm is precise to determine the level of programming question. In the future, to improve the result, the evaluation of programming question will use the factor of complexity of data and complexity of syntax in FES programming. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69491/ https://ir.uitm.edu.my/id/eprint/69491/1/69491.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Sulong, Suhana
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Sulong, Suhana
topic	Mathematical statistics Probabilities Decision theory Fuzzy decision making Instruments and machines Mathematical statistics Probabilities Computer software Mathematical statistics Probabilities Mathematical statistics Probabilities Software measurement
spellingShingle	Mathematical statistics Probabilities Decision theory Fuzzy decision making Instruments and machines Mathematical statistics Probabilities Computer software Mathematical statistics Probabilities Mathematical statistics Probabilities Software measurement Amir Sham, Norfarhana Syamiza Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham
description	In the university education system, examination result is one of the factors that contribute to passing and fail in sentence course. The examination questions will measure the understanding and knowledge level of students. However, there are differences in background among computer science diploma level students. Some of students come from regular schools and some of them are from technical secondary schools that have been exposed with programming subject. Thus, their knowledge higher than others. Therefore, Fuzzy Expert System (FES) for Evaluate Programming is built. FES is a good decision making model that able to represent the expert programming knowledge in a system. The goal of this system is to develop FES that can help lecturers to provide the question paper that consider of all student skills and knowledge. This system is used by lecturers that teach programming course. Data to implement the FES system is the type level of control structure in programming question paper that contributes to the level of the question. This system will perform a several steps to get the result which are fuzzification of the input, perform the rule based process, rule aggregation and defuzzification process to produce the percentage level of the question. The result shows that the FES algorithm is precise to determine the level of programming question. In the future, to improve the result, the evaluation of programming question will use the factor of complexity of data and complexity of syntax in FES programming.
format	Thesis
qualification_level	Bachelor degree
author	Amir Sham, Norfarhana Syamiza
author_facet	Amir Sham, Norfarhana Syamiza
author_sort	Amir Sham, Norfarhana Syamiza
title	Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham
title_short	Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham
title_full	Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham
title_fullStr	Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham
title_full_unstemmed	Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham
title_sort	fuzzy expert system to evaluate programming question / norfarhana syamiza amir sham
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69491/1/69491.pdf
_version_	1783735887736078336

Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham

Similar Items