
Let \((\Omega ,{\mathcal A},P)\) be a probability space, \(E\) a Hausdorff, locally compact and second countable topological space, and \(\mathcal U\) the family of all upper semicontinuous (u.s.c., for short) functions \(f:E\to [0,1]\). Using hypographs, \(\mathcal U\) can be embedded into the space \({\mathcal F}(E\times [0,1])\) of all closed subsets of the product \(E\times [0,1]\). The space \({\mathcal F}(E\times [0,1])\) is endowed with the hit-or-miss topology (called also Fell's topology); it is Hausdorff, compact and second countable. The authors prove that the space \({\mathcal U}^-\) of hypographs of elements of \(\mathcal U\) is a closed subset of \({\mathcal F}(E\times [0,1])\). Any measurable map \(X:\Omega\to {\mathcal F}(E\times [0,1])\) is called a random closed set on \(E\times [0,1]\). Probability laws of such random sets are characterized by capacity functionals on the family of compact subsets of \(E\times [0,1]\), via the Choquet theorem. Random u.s.c. functions are random closed sets on \(E\times [0,1]\) which take values in \({\mathcal U}^-\). The authors study special properties of capacity functionals corresponding to random u.s.c. functions. Recently related problems were studied by [\textit{Y. Ogura}, Soft methods for integrated uncertainty modelling. Proceedings of the 2006 international workshop on soft methods in probability and statistics (SMPS 2006), Bristol, UK, September 5--7, 2006. Berlin: Springer. Advances in Soft Computing, 145--151 (2006; Zbl 1110.54011)].
Upper semicontinuous functions, Applied Mathematics, Fuzzy real analysis, upper semicontinuous function, random sets, Theoretical Computer Science, Random sets, Function spaces in general topology, Artificial Intelligence, Choquet theorem, Hyperspaces in general topology, Geometric probability and stochastic geometry, Contents, measures, outer measures, capacities, Software
Upper semicontinuous functions, Applied Mathematics, Fuzzy real analysis, upper semicontinuous function, random sets, Theoretical Computer Science, Random sets, Function spaces in general topology, Artificial Intelligence, Choquet theorem, Hyperspaces in general topology, Geometric probability and stochastic geometry, Contents, measures, outer measures, capacities, Software
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