When the nodes G and are Boolean (or even if they are not Boolean, but have True and False among their possible values), a cruder method called the tornado method (This method is implemented, for example, in the AgenaRisk Bayesian network software [12], pp. 99–102.) can be used to rank the tests . The tornado method consists of computing the impact of a test on the truth or falsehood of G as the difference
and taking the most important test to be the one for which this impact is maximal (The name tornado arises because graphing the impacts as horizontal bars along the real axis from largest to smallest creates a tornado shape).
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