Costa, NunoLourenço, João2017-02-062017-02-062016-10http://hdl.handle.net/10400.26/17864Trabalho apresentado em 4th International Conference on Mechanical, Automotive and Materials Engineering (CMAME 2016), 25-27 agosto, Chengdu, ChinaA Pareto front provides to the decision-maker a set of optimal solutions from where a unique solution should be selected to solve a multiresponse problem. However, the responses’ prediction standard error for each one of the optimal solutions is different, which impacts on the reproducibility of Pareto solutions. This means that the decision-maker has to take into account the responses’ prediction standard error in the solution selection process. For this purpose, a metric to assess the solutions quality of prediction is suggested. A bi-objective problem is used as example and results displayed graphically.engconference object10.1051/matecconf/201710810007