2024-03-29T15:09:59Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/362282021-06-23T10:06:57Zcom_10324_1146com_10324_931com_10324_894col_10324_1262
00925njm 22002777a 4500
dc
Llamazares Rodríguez, Bonifacio
author
Peña García, María Teresa
author
2013
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.
European Journal of Operational Research, 2013, vol. 230, n. 2, p. 348-355.
0377-2217
http://uvadoc.uva.es/handle/10324/36228
10.1016/j.ejor.2013.04.013
Aggregating preferences rankings with variable weights