Generalizability theory and assessment in medical training Even though it is more than 50 years old, generalizability theory, or G theory, is not well known to the medical community. It combines aspects of classic test theory and analysis of variance in order to estimate reliability (“G-study”) of a measurement instrument as a function of design aspects (“facets” in G-theory literature), and to...

In this paper, we show how a possibilistic uncertainty model can be used to represent and manipulate uncertainty about the states of a system and of its components. At the same time, we present a thorough study of the incorporation of this possibilistic uncertainty model in classical, two-state reliability theory. The possibilistic reliability of a component or system is introduced and studied....

This paper presents an original method for evaluating reliability indices for Multi-State Systems (MSSs) in the presence of aleatory and epistemic uncertainties. In many real world MSSs an insufficiency of data makes it difficult to estimate precise values for component state probabilities. The proposed approach applies the Transferable Belief Model (TBM) interpretation of the Dempster-Shafer t...

Software Quality and Reliability Prediction Using Dempster-Shafer Theory

In this article, we propose an approach to improve quality in crowdsourcing (CS) tasks using Task Completion Time (TCT) as a source of information about the reliability workers game-theoretical competitive scenario. Our is based on hypothesis that some are more risk-inclined and tend gamble with their use time when put compete other workers. This supported by our previous simulation study. We t...

As integrated energy systems (IES) continue to undergo development and advancement, the degree of coupling between subsystems their complexity are also on rise, posing a challenge for reliability assessment such systems. The conventional method is unable explain interaction as well system-level phenomena. complex network theory needed provide deeper analysis. Firstly, this paper introduces basi...