This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We developed a general methodology for modelling reliability of complex systems based on Bayesian networks. A reliability structure represented as a reliability block diagram is transformed to a Bayesian network representation, and with this, the reliability of the system can be obtained using probabilit...

Sentiment analysis has so far focused on the detection of explicit opinions. However, of late implicit opinions have received broader attention, the key idea being that the evaluation of an event type by a speaker depends on how the participants in the event are valued and how the event itself affects the participants. We present an annotation scheme for adding relevant information, couched in ...

-A hybrid model of a probabilistic and non-probabilistic reliability theory is developed to predict the structural reliability when the probabilistic characteristics parameters of structural properties are imprecisely known. In this study, these parameters are described by appropriate ellipsoid. Interval of the structural reliability will be sought, i.e. estimating the worst possible reliabilit...

In this paper, we introduce the notion of volume-discrepancy (and of isotropic volume-discrepancy) of a sequences of points and we establish some of their basic properties. This notion is illustrated by an application to a reliability problem.