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International Journal for Uncertainty Quantification

Impact factor: 1.000

ISSN Print: 2152-5080
ISSN Online: 2152-5099

Open Access

International Journal for Uncertainty Quantification

DOI: 10.1615/Int.J.UncertaintyQuantification.2016016285
pages 215-228

EMPIRICAL ACCELERATION FUNCTIONS AND FUZZY INFORMATION

Muhammad Shafiq
Kohat University of Science and Technology
Alamgir Khalil
Department of Statistics, University of Peshawar, KP, Pakistan
Muhammad Atif
Department of Statistics, University of Peshawar, KP, Pakistan
Qamruz Zaman
Department of Statistics, University of Peshawar, KP, Pakistan

ABSTRACT

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.