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The Application of Fuzzy Soft Set Decision Making in Indentifying
the Preference of Fast Food among UMT Students
Wan Nor Aina Syazwani Binti Wan Ghazali
Supervisor: Assoc. Prof. Dr. Gobithaasan Rudrusamy
Bachelor of Science (Financial Mathematics)
School of Informatics and Applied Mathematics
This study is conducted to identify the preference of fast food by UMT students using
Fuzzy Soft Set theory. There is a huge increase of Malaysians against fast food who claims
these foods are unhealthy. The complexity of data makes it difficult for Malaysians to
choose fast food. Before a student makes a decision, he/she will look into several factors
to choose fast food. This study will use Fuzzy Soft Set theory to represent student factors
into choosing fast food. To complete the study, a questionnaire was conducted on a
number of students at (UMT). Furthermore, the problem solving in Fuzzy Soft Set for
decision making is computed to identify the main factors that influence student choice.
Finally, the identification of these factors can help Malaysian fast food companies be more
vigilant to customers’ decision making factors and thus increasing the country's economic
value to a higher global level.
903 | UMT UNDERGRADUATE RESEARCH DAY 2018