ASSESS DATA RELIABILITY FROM A SET OF CRITERIA USING THE THEORY OF BELIEF FUNCTIONS

To combine information source reliability in an uncertainty representation there are many available methods, but there are very small work focusing on the problem of evaluating the reliability. However, in data warehousing system data reliability and confidence are very necessary components as they are very effective for retrieval and analysis of data. Customizable criteria and very useful down to earth decisions are provided. Even if the method is very general, it provides more specifically interest in scientific experimental data. The method diagnosis and measure the data reliability from a set of general criteria. It believes on the use of basic probabilistic assignments and of evoked belief functions, since they offer a good settlement between flexibility and computational tractability. The goal of the work is to propose a partly automatic decision-support system to help in data reliability.