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INTERVAL METHODS IN KNOWLEDGE REPRESENTATION

机译:知识表示的区间方法

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摘要

In some practical situations, experts cannot gauge the probabilities p1,...,pn of different events; instead, they can estimate a_(ij) the ratios a_(ij) = P_i/p_j of these probabilities. Sometimes, we know the upper bounds Δ_(ij) on the accuracy of these estimates; in this case, we know that each actual ratio a_(ij) belongs to the interval [a_(ij),a_(ij)], where a_(ij) = a_(ij)- Δ_(ij) and a_(ij) = a_(ij) + Δ_(ij). Based on these intervals, we would like to find the interval estimates [(p)_i,(P)_j] for the probabilities p_i.
机译:在某些实际情况下,专家无法衡量不同事件的概率p1,...,pn;相反,他们可以估计a_(ij)与这些概率之比a_(ij)= P_i / p_j。有时,我们知道这些估计的准确性的上限Δ_(ij);在这种情况下,我们知道每个实际比率a_(ij)属于区间[a_(ij),a_(ij)],其中a_(ij)= a_(ij)-Δ_(ij)和a_(ij) = a_(ij)+Δ_(ij)。基于这些间隔,我们希望找到概率p_i的间隔估计[[p] _i,(P)_j]。

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