Publication
Responses’ prediction standard error analysis in pareto solutions
| dc.contributor.author | Costa, Nuno | |
| dc.contributor.author | Lourenço, João | |
| dc.date.accessioned | 2017-02-06T14:16:47Z | |
| dc.date.available | 2017-02-06T14:16:47Z | |
| dc.date.issued | 2016-10 | |
| dc.description | Trabalho apresentado em 4th International Conference on Mechanical, Automotive and Materials Engineering (CMAME 2016), 25-27 agosto, Chengdu, China | pt_PT |
| dc.description.abstract | A 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. | pt_PT |
| dc.description.version | N/A | pt_PT |
| dc.identifier.doi | 10.1051/matecconf/201710810007 | |
| dc.identifier.uri | http://hdl.handle.net/10400.26/17864 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.title | Responses’ prediction standard error analysis in pareto solutions | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Chengdu, China | pt_PT |
| oaire.citation.title | 4th International Conference on Mechanical, Automotive and Materials Engineering (CMAME 2016) | pt_PT |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |