National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
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.
Co je to Hybridní DSm Pravidlo pro kombinování domněnkových funkcí?
Daniel, Milan
This contribution is dealing with DSm theory of belief functions. Two different versions of hybrid DSm combination rule are presented. Inconsistencies of the newer version are observed and its corrections are suggested. New DSmH rules, which produce more specified results are suggested, and a schema, which covers a large family of combination rules derived from the generalized conjunctive combination rule, is presented.
Optimální podmínky pro maximalizaci informační divergence exponenciální rodiny
Matúš, František
The information divergence of a probability measure P from an exponential family E over a finite set is defined as infimum of the divergences of P from Q subject to Q in E. All directional derivatives of the divergence from E are explicitly found. To this end, behaviour of the conjugate of a log-Laplace transform on the boundary of its domain is analysed. The first order conditions for P to be a maximizer of the divergence from E are presented, including new ones when P is not projectable to E.

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