Consider the following problem: a set of candidates {x, y, z} has to be ranked from best to worse by a committee. Each member of the committee provides his own ranking of the three candidates and you decide to use the Borda method to aggregate the rankings. The resulting scores are as follows: 107 for x, 106 for y and 51 for z. Would you conclude that x is better than y? Probably not, because the difference between the scores of x and y is small. The only conclusion you would draw is that z definitely is the worst candidate. But, is it meaningful to consider differences of Borda scores? We characterize the Borda method in this new framework and find conditions that are very close to those characterizing the classical Borda method. Throughout our paper, we consider a generalization of the Borda method designed to aggregate fuzzy relations. <!--ID="" Acknowledgments. I am very grateful to Denis Bouyssou, Patrice Perny and Philippe Vincke for their most valuable comments about a previous version of this text. I am indebted to Samia Ould-Ali for pointing out an error in a previous version of Theorem 1. I wish also to thank Maurice Salles and an anonymous referee for their constructive comments.-->
