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

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