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• W3010396385 abstract "This paper focuses on solving a student-lecturer allocation problem by optimizing declared preferences. Typically, many students undertake an internship program every semester and many preferences need to be taken when assigning students to lecturer for supervision. The aim is to maximize student’s total preference. Analytic Hierarchy Process (AHP) technique is used in ranking the preference criteria and alternatives to form a preference matrix. Then, an IntegerProgramming (IP) model is developed by considering related constraints, which involves lecturer capacity according to academic position and matching gender of student to lecturer. This study demonstrates the effectiveness of using AHP technique in prioritizing preference criteria and facilitates finding the best solutions in the context of multiple criteria by using preference matrix. The IP model shows that all constraints are satisfied, and students’ total preferences ismaximized. The study demonstrates that the proposed method is efficient and avoids biased assignment. The satisfaction of the gender related constraint and preferences toward lecturers contributes significantly to satisfaction amongstudents and staff." @default.
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• W3010396385 date "2020-01-01" @default.
• W3010396385 modified "2023-09-27" @default.
• W3010396385 title "Optimizing the preference of student-lecturer allocation problem using analytical hierarchy process and integer programming" @default.
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