An interactive ranking-based multi-criteria choice algorithm with filtering: Applications to university selection

2019-6
Karakaya, Gülşah
Tuncer Şakar, Ceren
In this study, we develop an interactive algorithm to converge to the most preferred alternative of a decision maker (DM) among a set of discrete alternatives. The algorithm presents a limited number of alternatives to the DM and collects preference ranking of them iteratively. The preferences are modeled by a flexible and realistic preference function. To improve the performance, the alternatives presented are determined by a filtering method. We compare our algorithm with benchmark algorithms on numerous data sets from Quacquarelli Symonds, a higher education marketing company that reports annual rankings of universities under different categories. The results show that our algorithm outperforms the benchmark algorithms.

Citation Formats
G. Karakaya and C. Tuncer Şakar, “An interactive ranking-based multi-criteria choice algorithm with filtering: Applications to university selection,” METU Studies in Development, vol. 46, no. 1, pp. 17–46, 2019, Accessed: 00, 2020. [Online]. Available: http://www2.feas.metu.edu.tr/metusd/ojs/index.php/metusd/article/view/1054.