RT info:eu-repo/semantics/article
T1 Aggregating preferences rankings with variable weights
A1 Llamazares Rodríguez, Bonifacio
A1 Peña García, María Teresa
K1 Scoring rules
K1 Variable weights
AB One of the most important issues for aggregating preferences rankings is the determination of the weights associated with the different ranking places. To avoid the subjectivity in determining the weights, Cook and Kress (1990) [5] suggested evaluating each candidate with the most favorable scoring vector for him/her. With this purpose, various models based on Data Envelopment Analysis have appeared in the literature. Although these methods do not require predetermine the weights subjectively, some of them have a serious drawback: the relative order between two candidates may be altered when the number of first, second, ..., kth ranks obtained by other candidates changes, although there is not any variation in the number of first, second, ..., kth ranks obtained by both candidates. In this paper we propose a model that allows each candidate to be evaluated with the most favorable weighting vector for him/her and avoids the previous drawback. Moreover, in some cases, we give a closed expression for the score assigned with our model to each candidate.
PB Elsevier
SN 0377-2217
YR 2013
FD 2013
LK http://uvadoc.uva.es/handle/10324/36228
UL http://uvadoc.uva.es/handle/10324/36228
LA eng
NO European Journal of Operational Research, 2013, vol. 230, n. 2, p. 348-355.
NO Producción Científica
DS UVaDOC
RD 27-abr-2024