Publication de 6 numéros par an
ISSN Imprimer: 2152-5080
ISSN En ligne: 2152-5099
Indexed in
EMPIRICAL ACCELERATION FUNCTIONS AND FUZZY INFORMATION
RÉSUMÉ
In accelerated life testing approaches lifetime data are obtained under various conditions which are considered more severe than the usual condition. Classical analysis techniques are based on obtained precise measurements, and used to model variation among the observations. In fact, data have two types of uncertainty: variation among the observations and fuzziness of the single observation. Analysis techniques, which do not consider fuzziness and are only based on precise lifetime observations, lead to pseudo results. The aim of this study was to examine the behavior of empirical acceleration functions using fuzzy lifetime data. Furthermore the results showed an increased fuzziness in the transformed lifetimes compared to the input data.
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Shafiq Muhammad, Atif Muhammad, Viertl Reinhard, Beyond precision: accelerated life testing for fuzzy life time data, Soft Computing, 22, 22, 2018. Crossref