When car manufacturers embedded intelligent tags into the majority of their components, temperature, vibration and other essential data can be harvested throughout the lifecycle of a car. The interrogation of fuzzy Bayesian network ontologies would enable identification and prediction of faulty components that could be replaced and reengineered to ensure greater reliability. The ontologies could also determine the genres of cars that need to be recalled - given driving history - thus lowering recall costs and enhancing consumer experience.