Analyzing Consensus Measures in Group Decision Making Chiclana Parrilla, Francisco Tapia García, Juan Miguel Moral Ávila, María José Del Herrera Viedma, Enrique Group decision making Fuzzy preferences Similarity Consensus Decision support rules Wilcoxon test In Group Decision Making (GDM) problems before to obtain a solution a high level of consensus among experts is required. Consensus measures are usually built using similarity functions measuring how close experts’ opinions or preferences are. Similarity functions are defined based on the use of a metric describing the distance between experts’ opinions or preferences. In the literature, different distance functions have been proposed to implement consensus measures. This paper presents analyzes the effect of the application of some different distance functions for measuring consensus in GDM. By using the nonparametric Wilcoxon matched-pairs signed-ranks test, it is concluded that different distance functions can produce significantly different results. Moreover, it is also shown that their application also has a significant effect on the speed of achieving consensus. Finally, these results are analysed and used to derive decision support rules, based on a convergent criterion, that can be used to control the convergence speed of the consensus process using the compared distance functions. 2020-12-15T09:12:14Z 2020-12-15T09:12:14Z 2015 info:eu-repo/semantics/article Chiclana, F., Tapia Garcia, J. M., del Moral, M. J., & Herrera-Viedma, E. (2015). Analyzing consensus measures in group decision making. 3rd International Conference on Information Technology and Quantitative Management, Itqm 2015, 55, 1000-1008. [doi: 10.1016/j.procs.2015.07.103] http://hdl.handle.net/10481/64909 10.1016/j.procs.2015.07.103 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España ELSEVIER