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Artificial Intelligence and Decision Making, 2017, Issue 4, Pages 53–59 (Mi iipr265)  

Soft computing

Estimation of uncertainty for logic output produced by multi-dimensional data hypercubes

A. A. Akhrem, V. Z. Rakhmankulov, T. L. Vashevnik, K. V. Yuzhanin

Institute for Systems Analysis of Russian Academy of Sciences
Abstract: This paper investigates the problem of uncertainty estimation for logical output produced by multidimensional hypercube structures under the conditions of real disturbances of data in information databases and multidimensional data warehouses. The meaning of measure of data uncertainty is introduced. The criteria of decrease (increase) of uncertainty measures for logic output have been received taking into account the different changes of hypercube basic parameters.
Keywords: hypercube, hypercube multidimensional data, uncertainty measure, entropy, entropy measure, a set of cross-sections.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. A. Akhrem, V. Z. Rakhmankulov, T. L. Vashevnik, K. V. Yuzhanin, “Estimation of uncertainty for logic output produced by multi-dimensional data hypercubes”, Artificial Intelligence and Decision Making, 2017, no. 4, 53–59
Citation in format AMSBIB
\Bibitem{AkhRakVas17}
\by A.~A.~Akhrem, V.~Z.~Rakhmankulov, T.~L.~Vashevnik, K.~V.~Yuzhanin
\paper Estimation of uncertainty for logic output produced by multi-dimensional data hypercubes
\jour Artificial Intelligence and Decision Making
\yr 2017
\issue 4
\pages 53--59
\mathnet{http://mi.mathnet.ru/iipr265}
\elib{https://elibrary.ru/item.asp?id=30771443}
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