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... : We implemented the elicitation procedure described in Section 2.3 using simulated answers (the true va- lues are set to : p 1 = 0.6, p 2 = 0.7, p 3 = 0.65, p 4 = 0.7, p 5 = 0.78). Figure 3 shows the performance in terms of uncertainty reduction in R of our four strategies. The Bayesian slightly outperforms the baseline and the maximin strategies, but remain comparable to them, while all of them do much better than the ran- dom elicitation. ...
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... An additional interesting problem to explore is to formalize which information we should query to make two incomparable systems comparable. For instance, we may formulate it as an expert elicitation problem [1]. ...
In reliability analysis, comparing system reliability is an essential task when designing safe systems. When the failure probabilities of the system components (assumed to be independent) are precisely known, this task is relatively simple to achieve, as system reliabilities are precise numbers. When failure probabilities are ill-known (known to lie in an interval) and we want to have guaranteed comparisons (i.e., declare a system more reliable than another when it is for any possible probability value), there are different ways to compare system reliabilities. We explore the computational problems posed by such extensions, providing first insights about their pros and cons.
