I.P. Kameneva, V.O. Artemchuk, A.V. Iatsyshyn
Èlektron. model. 2018, 41(2):81-96
https://doi.org/10.15407/emodel.41.02.081
ABSTRACT
A probabilistic model of the domain is considered, which formalizes the formulation of the tasksA probabilistic model of the domain is considered, which formalizes the formulation of the tasksof analysis, interpretation and integration of multidimensional data. Some approaches to theproblem of identifying informative features and modeling expert knowledge used in psycho semanticstudies are analyzed. A probabilistic modification of the modeling process of a multidimensionalsemantic space is given. For a formal description of expert knowledge, it is proposedto use methods for estimating the subjective probability of individual events, which make it possibleto refine the estimates obtained earlier, taking into account accumulated experience. The resultsof the proposed approach are demonstrated on the example of environmental data.
KEYWORDS
probabilistic model, semantic space, expert knowledge, subjective probability estimates,probabilistic model, semantic space, expert knowledge, subjective probability estimates,decision making.
REFERENCES
2. Levy, A.Y. (2000), Logic-Based Techniques in Data Integration. In: Logic Based ArtificialIntelligence, Edited by Minker, J. Kluwer Publishers.
https://doi.org/10.1007/978-1-4615-1567-8_24
3. Calvanese, D. (2009), “Conceptual Modeling for Data Integration”, available at: http://www.inf.unibz.it/-calvanese/papers/calv-etal-book-mylopoulos-2009.pdf (accessed February 25, 2019).
4. Kameneva, I.P. (2005), “Probabilistic Models of Representation of Knowledge in IntelligentDecision-Making Systems», Iskusstvennyiy intellekt, Vol. 3, pp. 399-409.
5. Artemchuk, V.O., Kameneva, I.P. and Yatsyshyn, À.V. (2016), “Models of representationand data transformation in the problems of environmental monitoring in urban areas”,Elektronnoe modelirovanie, Vol. 38, no. 2, pp. 49-66.
https://doi.org/10.15407/emodel.38.02.049
6. Nalimov, V.V. (1989), Spontannost soznaniya: Veroyatnostnaya teoriya smyslov i smyslovayaarkhitektonika lichnosti [Spontaneity of consciousness: The probabilistic theory ofmeanings and the semantic architectonics of personality], Prometey, Moscow, Russia.
7. Petrenko, V.F. (1988), Psikhosemantika soznaniya [Psychosemantics of consciousness],MGU, Moscow, Russia.
8. Petrenko, V.F. (2009), Mnogomernoye soznaniye: psikhosemanticheskaya paradigmà [Multidimensionalconsciousness: the psycho-semantic paradigm], Novyy khronograf,Moscow, Russia.
9. Gavrilova, T.A. and Khoroshevskiy, V.F. (2001), Bazy znaniy intellektualnykh sistem[Knowledge Base Intelligent Systems], Piter, Saint Petersburg, Russia.
10. Shmelev, A.G. (2002), Psikhodiagnostika lichnostnykh chert [Psychodiagnostics of personalitytraits], Rech, Saint Petersburg, Russia.
11. Mokhor, V.V. and Honchar, S.F. (2018), “The Idea of the Construction of the Algebra ofRisks on the Basis of the Theory of Complex Numbers”, Elektronnoe modelirovanie, Vol. 40,no. 4, pp. 107-112.
https://doi.org/10.15407/emodel.40.04.107
12. Artemchuk, V.O., Kameneva, I.P. and Yatsyshyn, À.V. (2017), “Specificity of the applicationof cognitive analysis of information in the tasks of ensuring environmental safety”,Elektronnoe modelirovanie, Vol. 39, no. 6, pp. 107-124.
https://doi.org/10.15407/emodel.39.06.107
13. Kameneva, I.P., Popov, O.O., Yatsyshyn, À.V. and Artemchuk, V.O. (2009), “Methods fordetermining environmental risk factor for atmospheric”, Modelyuvannya ta Informatsiyni tehnologiyi: G.E. Pukhov IMEE NAS of Ukraine, Vol. 53, pp. 23-32.
14. Yatsyshyn, A.V., Kameneva, I.P., Artemchuk, V.A. and Popov, A.A. (2012), “Methods andtechnologies for risk analysis for health based on monitoring data”, Sb. trudov IV Mezhdunarodnoynauch. konf. «MODELIROVANIE-2012» [Proceeding of the IV International scientificconference MODELING-2012], Kiev, pp. 470-473.
15. Schomisyachniy byuleten zabrudnennya atmosfernogo povitrya v Kyevi ta mistakh Kiyivskoyioblasti [Monthly Bulletin of air pollution in the cities of Kyiv and Kyiv region],(2005-2015), Tsentralna geofizichna observatoriya, Kiev, Ukraine.