Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ International Journa...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
International Journal of Approximate Reasoning
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
International Journal of Approximate Reasoning
Article . 2007
License: Elsevier Non-Commercial
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
International Journal of Approximate Reasoning
Article . 2007 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2007
Data sources: zbMATH Open
DBLP
Article . 2007
Data sources: DBLP
versions View all 5 versions
addClaim

On Choquet theorem for random upper semicontinuous functions

Authors: Hung T. Nguyen 0002; Yangeng Wang; Guo Wei 0004;

On Choquet theorem for random upper semicontinuous functions

Abstract

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)].

Related Organizations
Keywords

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

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Top 10%
hybrid