In this tool, we use a graphical model called Valuation-Based System (VBS) as a unique framework that allows one to represent and propagate more adequately all type of uncertainties in the same model. The VBSs were first introduced by Shenoy in 1989 as a general language for incorporating uncertainty in expert systems. We introduce a software tool to use for the application of the VBS approach for reliability assessment of systems based on the operations and basics introduced by Shenoy.
Description of reliability based VBS tool pdf
Methodology of reliability based VBS tool pdf
Reliability based VBS tool zip
In order to evaluate the dependability parameters of systems, part of components and subsystems reliability data is provided by experts. Eliciting expert opinions is therefore a major and decisive task in the process of the quantitative evaluation of systems dependability. A critical part of the elicitation is to choose the questions to ask. Those need to be simple (i.e., do not require high cognitive effort) and in terms and format experts are familiar with. Furthermore, the process of information acquisition need to be optimal for the elicitation to be effective and the least possible time or effort consuming. In other words, we want the querying strategy to be optimal. For the particular problem of estimation and uncertainty reduction, we developed a querying strategy that is adaptive and optimal, i.e., that selects, at each stage of the elicitation, the optimal questions based on the answers to the previous ones. Then we use this optimal elicitation method in estimating the dependability parameters of systems. For this, we implemented the elicitation procedure into a Matlab interface.
Description of interactive reliability optimal elicitation tool pdf
Methodology of interactive reliability optimal elicitation tool pdf
Interactive reliability optimal elicitation tool zip