No. 3 (2015)

• Title pages

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  1-4

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Theoretical and applied problems and methods of system analysis

• Informational system for modeling and estimation of financial operational risks using Bayesian networks

  N. D. Pankratova, P. I. Bidyuk, N. G. Rubec

  7-19

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• The system basis of data mining of geospatial data

  V. V. Putrenko

  20-33

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Decision making and control in economic, technical, ecological and social systems

• On the parameters identification in models of assets dynamics

  Fedir Garashchenko, Victor Kulyan, Olena Iunkova

  34-42

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• Tasks of structure of strategic business performance management in a company

  Yu. А. Romanenkov, T. G. Zieiniiev

  43-47

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Theoretical and applied problems of intelligent systems for decision making support

• Time complexity of Kruskal's algorithm with tree and linked list data structures

  A. N. Trofimchuk, V. A. Vasyanin

  48-61

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• Conceptual modeling of forest fires flashes by DataMining ontology-based. Part 2

  M. Radovanović, Y. I. Vyklyuk, M. Milenković, A. Jovanović, D. Vuković, M. Stevančević, N. A. Matsiuk, T. B. Leko

  62-71

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Mathematical methods, models, problems and technologies for complex systems research

• The nature of connectedness of the safety system elements of hydraulic structures

  A. B. Kachinskiy, N. V. Agarkova

  72-83

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• Expected effect of environmental investment on market share of oil company

  Y. Matsuki, P. I. Bidyuk, V. J. Danylov, K. I. Yevtushenko

  84-96

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• The smoothed autocorrelation function method for predicting the variation of heteroscedastic time series

  N. G. Zrazhevska

  97-108

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Methods of system analysis and control in conditions of risk and uncertainty

• Adaptive coordinating control of interacting cognitive maps vertices’ relations in impulse mode

  V. D. Romanenko, Y. L. Milyavsky

  109-120

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• Evaluating the confidence intervals for weights of decision alternatives on the basis of expert pairwise comparison judgments

  N. I. Nedashkovskaya

  121-130

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• Identification of variable parameters of a model for the construction of a forecasting algorithm

  E. V. Bratus, V. N. Podladchikov

  131-141

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• Abstracts

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  142-148

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• Information about the authors

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  149-150

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