A fuzzy multiple attribute decision making method expert system for university admission selection / Norly Azman

Azman, Norly (2006) A fuzzy multiple attribute decision making method expert system for university admission selection / Norly Azman. Degree thesis, Universiti Teknologi MARA.

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Abstract

The university admission selection process is a process that involves selecting and ranking based on the apphcants academic and co-curriculum results and the choice of programs. The current practice of university admission selection process using the partially automated system, may lead to biases and errors. An alternative solution for the problem using artificial intelligence approach was applied in this research with the integration of Fuzzy Multiple Attribute Decision Making (MADM) and expert system. The main purpose of this research is to produce a system that will list out the programs and the ranking of its qualified students. Nine diploma programs from three different faculties were used as problem's alternatives while four subjects' components based on the SPM results were used as the problem's attributes. Other attributes such as cocurriculum results and quota were also considered in the selection and allocation process. A non-linear preference scale has been appli^ as a weight to represent the choice of programs by the students. The finding of this research reveals that fuzzy MADM can help to solve this problem effectively

Item Type: Thesis (Degree)
Creators:
CreatorsID Num.
Azman, NorlyUNSPECIFIED
Subjects: A General Works > Indexes (General)
Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science
Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science
Divisions: Faculty of Computer and Mathematical Sciences
Item ID: 1845
Last Modified: 12 Nov 2019 03:04
Depositing User: Staf Pendigitalan 1
URI: http://ir.uitm.edu.my/id/eprint/1845

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