Full metadata record
DC FieldValueLanguage
dc.contributor.authorANNONI Paolaen_GB
dc.contributor.authorBRÜGGEMANN Raineren_GB
dc.contributor.authorSALTELLI Andreaen_GB
dc.date.accessioned2012-11-29T01:02:26Z-
dc.date.available2012-11-28en_GB
dc.date.available2012-11-29T01:02:26Z-
dc.date.created2012-09-11en_GB
dc.date.issued2012en_GB
dc.date.submitted2011-01-10en_GB
dc.identifier.citationRELIABILITY ENGINEERING & SYSTEM SAFETY vol. 107 p. 184-189en_GB
dc.identifier.issn0951-8320en_GB
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0951832012000841en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC62220-
dc.description.abstractA special application of global sensitivity analysis is that on partially ordered sets – posets – that are sets of objects endowed by a binary order relation. In a partial order two objects can be in relation with each other, and are said to be comparable, or not, then they are said to be incomparable. Comparability and incomparability relations between objects can be visualized in a so called Hasse diagram, which is instructive in ranking the objects by multi-criteria/non-compensatory approaches. The interpretation of a Hasse diagram may be difficult even when the number of objects in the set is relatively small. Completely different configurations of the diagram can arise even for small perturbations of the starting data. Global sensitivity indices can shed light on the robustness of the partial order to data value uncertainty. Global measures particularly fit the case since posets are characterized by high number of dimensions and high-order interactions. These distinctive features of sensitivity analysis for posets make quasi-random designs perform almost the same as the random one as it is discussed here with a real test case for comparing the level of competitiveness of EU countries.en_GB
dc.description.sponsorshipJRC.G.3-Econometrics and applied statisticsen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherELSEVIER SCI LTDen_GB
dc.relation.ispartofseriesJRC62220en_GB
dc.titleRandom and quasi-random designs in variance-based sensitivity analysis for partially ordered setsen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1016/j.ress.2012.05.001en_GB
JRC Directorate:Space, Security and Migration

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.