DECISION SUPPORT SYSTEM FOR ANALYSIS AND FORECASTING STATE OF ENTERPRISE

P. I. Bidiuk, A. D. Kozhukhivskyi, O. A. Kozhukhivska.

Abstract


Decision support system construction procedure is proposed on the basis of Bayesian network that provides a possibility for estimating and forecasting state of small business in conditions of influence of disturbances of different types and nature. Bayesian network is a powerful probabilistic instrument that is constructed on the basis of experimental data expert estimates. An example of application of the net constructed is provided that touches upon determining strategy of small business.

Keywords


decision support system, Bayesian networks, enterprise state estimation, strategic planning, statistical data.

GOST Style Citations






DOI: http://dx.doi.org/10.15588/1607-3274-2013-1-20



Copyright (c) 2014 P. I. Bidiuk, A. D. Kozhukhivskyi, O. A. Kozhukhivska.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Address of the journal editorial office:
Editorial office of the journal «Radio Electronics, Computer Science, Control»,
Zaporizhzhya National Technical University, 
Zhukovskiy street, 64, Zaporizhzhya, 69063, Ukraine. 
Telephone: +38-061-769-82-96 – the Editing and Publishing Department.
E-mail: rvv@zntu.edu.ua

The reference to the journal is obligatory in the cases of complete or partial use of its materials.