TY - JOUR
T1 - Stable matching of student-groups to dormitories
AU - Perach, Nitsan
AU - Anily, Shoshana
N1 - Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - This paper generalizes results of former papers on the assignment of students to dormitories, under an entrance criterion, by allowing students to apply in groups. A group-application means that its applicants ask to be assigned to the same dormitory, and otherwise they prefer living off-campus. The underlying assumption in our model is that the dormitories share a common preference over the student-groups, which is given by a strictly increasing ranking of their credit scores. The definition of a quasi-stable outcome is adjusted in order to incorporate student-group applications, and we prove that such an outcome always exists. Furthermore, a polynomial-time algorithm that finds all the quasi-stable outcomes is proposed. Apparently, not all properties of the single students’ model continue to hold under group-applications. Finally, we consider the incentive compatibility property of the proposed algorithm, and describe a specific quasi-stable outcome for which no subset of student-groups can gain by misrepresenting their preferences over the dormitories.
AB - This paper generalizes results of former papers on the assignment of students to dormitories, under an entrance criterion, by allowing students to apply in groups. A group-application means that its applicants ask to be assigned to the same dormitory, and otherwise they prefer living off-campus. The underlying assumption in our model is that the dormitories share a common preference over the student-groups, which is given by a strictly increasing ranking of their credit scores. The definition of a quasi-stable outcome is adjusted in order to incorporate student-group applications, and we prove that such an outcome always exists. Furthermore, a polynomial-time algorithm that finds all the quasi-stable outcomes is proposed. Apparently, not all properties of the single students’ model continue to hold under group-applications. Finally, we consider the incentive compatibility property of the proposed algorithm, and describe a specific quasi-stable outcome for which no subset of student-groups can gain by misrepresenting their preferences over the dormitories.
KW - Assignment
KW - Dormitories
KW - Incentive compatibility
KW - Many-to-many matching
KW - Stable matching
UR - http://www.scopus.com/inward/record.url?scp=85123677520&partnerID=8YFLogxK
U2 - 10.1016/j.ejor.2021.12.048
DO - 10.1016/j.ejor.2021.12.048
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AN - SCOPUS:85123677520
SN - 0377-2217
VL - 302
SP - 50
EP - 61
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 1
ER -