A Fuzzy Topsis Multiple-Attribute Decision Making for Scholarship Selection
Abstract: As the education
fees are becoming more expensive, more students apply for scholarships.
Consequently, hundreds and even thousands of applications need to be handled by
the sponsor. To solve the problems, some alternatives based on several
attributes (criteria) need to be selected. In order to make a decision on such
fuzzy problems, Fuzzy Multiple Attribute Decision Making (FMDAM) can be
applied. In this study, Unified Modeling Language (UML) in FMADM with TOPSIS
and Weighted Product (WP) methods is applied to select the candidates for
academic and non-academic scholarships at Universitas Islam Negeri Sunan
Kalijaga. Data used were a crisp and fuzzy data. The results show that TOPSIS
and Weighted Product FMADM methods can
be used to select the most suitable candidates to receive the scholarships
since the preference values applied in this method can show applicants with the
highest eligibility.
Author: Shofwatul ‘Uyun, Imam
Riadi
Journal Code: jptkomputergg110009
