From Relative Frequences to Lattice-Valued Possibilistic Measures
Abstract
The paper offers a very short essay on various mathematical models for uncertainty quantification and processing both for the uncertainty in the sense of randomness as well as for the uncertainty in the sense of vagueness and fuzziness. In this later group the attention is focused to non-numerical uncertainty degrees, e.g. to lattice-valued possibilistic measures. Picked up are results closely related to fields of interests of Prof. Petr Hájek to whose honour the volume is dedicated.