Knowledge-Based Decision Support with Self-Learning Methods

Intelligent systems are available and helpful to support the decision process for diagnostics in complex technical processes. Normally, such a decision support system consists of a knowledge-based module, which is responsible for the real assistance power, given by an explanation and the logical reasoning processes. The knowledge acquisition and generation of the complex knowledge correlations are crucial, because there are different correlations between the complex parameters. So, in this approach, (semi)automated self-learning methods are researched and developed for an enhancement of the quality of such a decision support system.