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Rozhodování za nejistoty založené na pořadově-redukovatelných posibilistických mírách
Kramosil, Ivan
Ranking functions are qualitative degrees of uncertainty ascribed to events charged by uncertainty and taking as their values non-negative integers. It is shown that different possibilistic measures with identical ranking functions yield the same results when applied in decision procedures based on qualitative comparation of the magnitudes of the possibilistic measures in question ascribed.

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