Statistical Estimations of Lattice-Valued Possibilistic Distributions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F11%3A00361642" target="_blank" >RIV/67985807:_____/11:00361642 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-22152-1_58" target="_blank" >http://dx.doi.org/10.1007/978-3-642-22152-1_58</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-22152-1_58" target="_blank" >10.1007/978-3-642-22152-1_58</a>
Alternative languages
Result language
angličtina
Original language name
Statistical Estimations of Lattice-Valued Possibilistic Distributions
Original language description
The most often applied non-numerical uncertainty degrees are those taking their values in complete lattices, but also their weakened versions may be of interest. In what follows, we introduce and analyze possibilistic distributions and measures taking values in finite upper-valued possibilistic lattices, so that only for finite sets of such values their supremum is defined. For infinite sets of values of the finite lattice in question we apply the idea of the so called Monte-Carlo method: sample at random and under certain conditions a large enough finite subset of the infinite set in question, and take the supremum over this finite sample set as a "good enough" estimation of the undefined supremum of the infinite set. A number of more or less easy toprove assertions demonstrate the conditions when and in which sense the quality of the results obtained by replacing non-existing or non-accessible supremum values by their random estimations tend to the optimum results supposing that the
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ISBN
978-3-642-22151-4
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
688-699
Publisher name
Springer
Place of publication
Heidelberg
Event location
Belfast
Event date
Jun 29, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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