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Item type:Item, Selecting students to a dormitory using AHP(2016-11-18) ;Narabin, SantitBoonjing, VeeraA dormitory is an accommodation service of a university for the students especially who live far away from the educational institutions. In our country, with perfectly low price, a dormitory is needed for number of students. Each year student applicants are selected by a committee. It can be happened that a group of students may not be selected by a committee member without a reasonable reason. This fact can bring undesirable biases in educational area. Therefore, using rational and acceptable criteria for selecting students to stay in a dorm are needed. In this article, we propose to apply Analytical Hierarchy Process (AHP) as a Decision Support System (DSS) to select undergraduate students to a dormitory of a university. We provide 4 main criteria and 16 sub-criteria. Based on the method, an eigenvector is calculated and the Consistency Ratio (CR) can be determined from the eigenvector. By iteratively following the process of AHP, we then can have appropriate weight numbers that can be used for selecting proper students to the dormitories. - Some of the metrics are blocked by yourconsent settings
Item type:Item, A new approach to Multi-criteria Decision Making (MCDM) using the fuzzy binary relation of the ELECTRE III method and the principles of the AHP method(2010-03-31) ;Boongasame, LaorBoonjing, VeeraThere are several methods for Multi Criteria Decision Making (MCDM) such as multiple attribute utility theory (MAUT), the analytical hierarchy process (AHP), and Fuzzy AHP. However, these methods are compensatory optimization approaches for which bad score on some criteria can be compensated by excellent scores on other criteria. So, the Elimination and Choice Translating Reality III (ELECTRE III) was proposed to solve such problem. Nevertheless, thresholds determined by identified experts and used in this method may be inconsistent. Therefore, this paper proposes an integrated approach which employs ELECTRE III and partial concepts of AHP together, called the Consistency ELECTRE III. In this method, ELECTRE III is used in ranks the alternatives and AHP is used in determining the consistency of the criteria thresholds within ELECTRE III. In the simulation, it is found that threshold values of criteria within ELECTRE III affect the ranking of the alternatives. Specially, the ranking of the Consistency ELECTRE III and that of the ELECTRE III are different. © 2010 Springer-Verlag Berlin Heidelberg.
