A Fuzzy Topsis Multiple-Attribute Decision Making for Scholarship Selection

As the education fees are becoming more expe nsive, more students apply for scholarships. Consequently, hundreds and even thousands of applicati ons need to be handled by the sponsor. To solve the problems, some alternatives based on several attri butes (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 ac ademic and non-academic scholarships at Universitas Islam Negeri Sunan Kalijaga. Data used were a crisp and fuzzy data. The result s show that TOPSIS and Weighted Product FMADM methods can be used to se lect the most suitable candidates to receive the scholarships since the preference values applied in this method can show applicants with the highest eligibility.