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008 170131s2017 sz | s |||| 0|eng d
020 _a9783319510521
_9978-3-319-51052-1
024 7 _a10.1007/978-3-319-51052-1
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aUncertainty Modeling
_h[electronic resource] :
_bDedicated to Professor Boris Kovalerchuk on his Anniversary /
_cedited by Vladik Kreinovich.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXIV, 292 p. 68 illus., 24 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v683
505 0 _aPreface -- MapReduce: From Elementary Circuits to Cloud -- On the Helmholtz Principle for Data Mining -- A method of introducing weights into OWA operators and other symmetric functions -- Uncertainty Management: Probability, Possibility, Entropy, and Other Paradigms- Relationships between fuzziness, partial truth and probability in the case of repetitive events -- Using extended tree kernels to recognize metalanguage in text -- Relationships between Probability and Possibility Theories -- Modeling extremal events is not easy: why the Extreme Value Theorem cannot be as general as the Central Limit Theorem -- Information quality and uncertainty -- Applying anomalous cluster approach to spatial clustering -- Why is linear quantile regression empirically successful: a possible explanation -- A Rapid Soft Computing Approach to Dimensionality Reduction in Model Construction -- Physics Of The Mind, Dynamic Logic, and Monotone Boolean Functions -- Fuzzy arithmetic type 1 without extension principle and vertical membership functions -- Copula as a bridge between probability theory and fuzzy logic -- Note to the polemics surrounding the second Goedel's theorem -- Ontological Data Mining.
520 _aThis book commemorates the 65th birthday of Dr. Boris Kovalerchuk, and reflects many of the research areas covered by his work. It focuses on data processing under uncertainty, especially fuzzy data processing, when uncertainty comes from the imprecision of expert opinions. The book includes 17 authoritative contributions by leading experts.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aKreinovich, Vladik.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_952062
710 2 _aSpringerLink (Online service)
_952063
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319510514
776 0 8 _iPrinted edition:
_z9783319510538
776 0 8 _iPrinted edition:
_z9783319845548
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v683
_952064
856 4 0 _uhttps://doi.org/10.1007/978-3-319-51052-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78881
_d78881