Region of the country is treated as an open megasystem that consists of many interconnected complex network systems. Classification of such systems on the basis of ordered motion of flows is performed. The main approaches to investigation of complex systems are described. Theory of evaluation is considered as a tool for analysis of network systems. Purpose and subject of evaluation of the systems are formulated. The main problems of evaluation are analyzed and the ways of further research are determined.
[1]
Olexandr Polishchuk, Department of Nonlinear Mathematical Analysis, Pidstryhach Institute for Applied Problems of Mechanics and Mathematics, National Academy of Sciences of Ukraine, Lviv, Ukraine.
[2]
Dmytro Polishchuk, Department of International Communications, Computer Center of Lviv Railway, Lviv, Ukraine.
[3]
Maria Tyutyunnyk, Department of Mathematical Modeling of Self-organization Phenomena, Pidstryhach Institute for Applied Problems of Mechanics and Mathematics, National Academy of Sciences of Ukraine, Lviv, Ukraine.
[4]
Mykhailo Yadzhak, Department of Mathematical Modeling of Self-organization Phenomena, Pidstryhach Institute for Applied Problems of Mechanics and Mathematics, National Academy of Sciences of Ukraine, Lviv, Ukraine.
Regional Development, Complex System, Network, Evaluation, Forecasting, Aggregation, Continuous Monitoring, Parallel Algorithm
[1]
Scott A. J. and Storper M. “Regions, globalization, development”, Regional studies, vol. 41 (S1), pp. 191-205, 2007.
[2]
Malecki E. J. Technology and economic development. The dynamics of local, regional, and national competitiveness, Addison Wesley , Longman, Essex, 1997.
[3]
Cooke P. and Morgan K. “The network paradigm: new departures in corporate and regional development. Environment and Planning”, Society and Space, vol. 11, no. 5, pр. 543-564, 1993.
[4]
Vickerman R. W. Infrastructure and regional development, Pion, London, 1991.
[5]
Hinrichsen D. and Pritchard A. J. Mathematical Systems Theory, Springer, New York, 2005.
[6]
Boccatti S., Latora V., Moreno Y., Chavez M., and Hwang D.-U. “Complex networks: structure and dynamics”, Physics Reports, vol. 424, pp. 175-308, 2006.
[7]
Marakas G.M. Decision support systems in the 21st Century, Pearson Education, New York, 2003.
[8]
Buslenko N.P. Modelling of complex systems, Nauka, Moscow, 1978.
[9]
Owen C.L. “Evaluation of complex systems”, vol. 28, no. 1, pp. 73–101, 2007.
[10]
Polishchuk D., Polishchuk O., and Yadzhak M. “Complex evaluation of hierarchically-network systems”, Automatic Control and Information Sciences, vol. 2, no. 2, pp. 32-44, 2014.
[11]
Alcorta G.E. and Frank P.M. “Deterministic nonlinear observer-based approaches to fault diagnosis: A survey”, Control Engineering Practice, vol. 5, no. 5, pp. 663–670, 1997.
[12]
Ramsey F. and Schafer D. The statistical sleuth: A course in methods of data analysis, Duxbury Press, 2001.
[13]
Claxton K. “The irrelevance of inference: a decision-making approach to the stochastic evaluation of health care technologies”, Journal of Health Economics, vol. 18, no. 3, pp. 341–364, 1999 .
[14]
Lee J. and Jay Kuo C.-C. “Tree model simplification with hybrid polygon/billboard approach and human-centered quality evaluation”, Proceedings of IEEE International Conference on Multimedia and Expo, Singapore, July 19-23, 2010, pp. 932-937.
[15]
Polishchuk D., Polishchuk O., and Yadzhak M. “Comparison of methods of complex system evaluation”, Information Extraction and Processing, vol. 32 (108), pp. 110-118, 2010.
[16]
Armitage P. Statistical methods in medical research, Blackwell Science, 2002.
[17]
Weart S. R. and Weart S. R. Nuclear fear: A history of images, Harvard University Press, 2009.
[18]
Polishchuk D. and Polishchuk O. “About evaluation of complex dynamical systems”, Journal of Complex Systems, 2013, Article ID 204304, 6 p.: Available: http://dx.doi.org/ 10.1155/2013/ 204304.
[19]
Polishchuk O., Tyutyunnyk M., and Yadzhak M. “Local evaluation of function quality of complex systems on the base of parallel calculations”, Information Extraction and Processing, vol. 33 (109), pp. 119-124, 2010.
[20]
Polishchuk O., Tyutyunnyk M., and Yadzhak M. “Quality evaluation of complex systems function on the base of parallel calculations”, Information Extraction and Processing, vol. 26 (102), pp. 121-126, 2007.