Ranking Functions Induced by Possibilistic Measures
نویسنده
چکیده
Ranking functions are qualitative degrees of uncertainty ascribed to events charged by uncertainty and taking as their values non-negative integers in the sense of ordinal numbers. Introduced are ranking functions induced by real-valued possibilistic measures and 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 to the uncertain events.
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