RATING MODELS AND INFORMATION TECHNOLOGIES APPLICATION FOR MANAGEMENT OF ADMINISTRATIVE-TERRITORIAL COMPLEXES
DOI:
https://doi.org/10.15802/stp2016/90522Keywords:
administrative and territorial management, classes of systems, strategic planning, rating model, multi-criterial analysis, heterogeneous resources, information technology, individual model of functioningAbstract
Purpose. The paper aims to develop rating models and related information technologies designed to resolve the tasks of strategic planning of the administrative and territorial units’ development, as well as the tasks of multi-criteria control of inhomogeneous multiparameter objects operation. Methodology. When solving problems of strategic planning of administrative and territorial development and heterogeneous classes management of objects under control, a set of agreed methods is used. Namely the multi-criteria properties analysis for objects of planning and management, diagnostics of the state parameters, forecasting and management of complex systems of different classes. Their states are estimated by sets of different quality indicators, as well as represented by the individual models of operation process. A new information technology is proposed and created to implement the strategic planning and management tasks. This technology uses the procedures for solving typical tasks, that are implemented in MS SQL Server. Findings. A new approach to develop models of analyze and management of complex systems classes based on the ratings has been proposed. Rating models development for analysis of multicriteria and multiparameter systems has been obtained. The management of these systems is performed on the base of parameters of the current and predicted state by non-uniform distribution of resources. The procedure of sensitivity analysis of the changes in the rating model of inhomogeneous distribution of resources parameters has been developed. The information technology of strategic planning and management of heterogeneous classes of objects based on the rating model has been created. Originality. This article proposes a new approach of the rating indicators’ using as a general model for strategic planning of the development and management of heterogeneous objects that can be characterized by the sets of parameters measured on different scales. At this the control of separate elements is realized by the way of individual mental models construction and application of functioning processes. The procedure for evaluating of the prediction reliability based on multivariate linear extrapolation method was proposed. Practical value. The proposed method of strategic planning of the complex systems’ development based on rating models and developed information technology are representing the complex of automated tools to ensure effective economical and technological control of non-uniform sets of multiparameter objects. The new solutions of typical tasks of strategic planning and development of complex objects management procedure are implemented in the information technology of rating estimation (rating definition, sensitivity analysis, clustering, diagnostics, forecasting, resource allocation, multi-criteria analysis etc.). Application of the proposed information technology can automate the task of analysis and strategic planning of the administrative-territorial complexes. The technology can be used for monitoring, analysis, strategic planning and management of several complex system types simultaneously.
References
Tarasov, V. A., Gerasimov, B. M., Levin, I. A., & Korneychuk, V. A. (2007). Intellektualnyye sistemy podderzhki prinyatiya resheniy: Teoriya, sintez, effektivnost. Kyiv: MAKNS.
Skalozub, V. V., Andryushchenko, V. A., & Razumov, S. Y. (2011). Informatsionnaya tekhnologiya diagnostiki, prognozirovaniya i upravleniya ustoychivym razvitiyem slozhnykh sistem na osnove reytingovykh otsenok. Rehionalnyi mizhvuzovskyi zbirnyk naukovykh robit «Systemni tekhnolohii», 5(76), 178-185.
Buryak, S. Y., Gavrilyuk, V. I., Gololobova, O. A., & Beznarytnyy, A. M. (2014). Issledovaniye diagnosticheskikh priznakov strelochnykh elektroprivodov peremennogo toka. Nauka ta prohres transportu – Science and Transport Progress, 4(52), 7-22. doi:10.15802/stp2014/27341
Heiets, V. M., Klebanova, T. S., Cherniak, O. I., Ivanov, V. V., Dubrovina, N. A., & Stavytskyi, A. V. (2005). Modeli i metody sotsialno-ekonomichnoho prohnozuvannia. Kharkiv: INZhEK.
Pro zaprovadzhennia kompleksnoi otsinky sotsialno-ekonomichnoho rozvytku Avtonomnoi Respubliky Krym, oblastei, Kyieva ta Sevastopolia: Postanova Kabinetu Ministriv Ukrainy vid 20 chervnia 2007 r. No. 833 (2007). Kyiv.
Pshinko, A. N., & Skalozub, V. V. (2014). Problemy i informatsionnyye tekhnologii sotsialno-ekonomicheskogo upravleniya na zheleznodorozhnom transporte Ukrainy. Paper presented at 74 mizhnarodna naukovo-praktychna konferentsiya: «Problemy ta perspektyvy rozvytku zaliznychnoho transportu», Dnipropetrovsk.
Rastrigin, L. A., & Ponomarev, Y. P. (1986). Ekstrapolyatsionnyye metody proyektirovaniya i upravleniya. Moscow: Mashinostroyeniye.
Saati, T., & Kernes, Y. (1991). Metod analiza ierarkhiy. Moscow: Radio i svyaz.
Skalozub, V. V., Osovyk, V. M., & Klymenko, I. V. (2015). Ekonomiko-tekhnolohichni modeli analizu i upravlinnia ekspluatatsiieiu parkiv elektrychnykh dvyhuniv zaliznychnykh strilochnykh perevodiv. Zbirnyk naukovykh prats Dnipropetrovskoho natsionalnoho universytetu zaliznychnoho transportu imeni akademika V. Lazariana: «Problemy ekonomiky transportu», 9, 129-137.
Skalozub, V. V., Shvets, O. M., & Osovik, V. N. (2014). Metody intellektualnykh sistem v zadachakh upravleniya parkami obektov zheleznodorozhnogo transporta po tekushchemu sostoyaniyu. Zbirnyk naukovykh prats: «Pytannia prykladnoi matematyky i matematychnoho modeliuvannia», 40-47.
Kohonen, T. (2011). Self-Organizing Maps. Berlin: Springer-Verlag Berlin Heidelberg. doi:10.1007/978-3-642-56927-2
McCue, C. (2015). Data Mining and Predictive Analysis, Second Edition: Intelligence Gathering and Crime Analysis. 2nd ed. Butterworth: Butterworth-Heinemann.
Rutkovski, L. (2005). Metody i techniki sztucznej inteligencji. Inteligencja obliczeniowa. Warszawa: Wydawnictwo naukove PWN.
Witten, I. H., Frank, E., & Hall, M. A. (2011). Data Mining: Practical Machine Learning Tools and Techniques. 3d ed. San Francisco: Morgan Kaufmann.
Downloads
Published
How to Cite
Issue
Section
License
Copyright and Licensing
This journal provides open access to all of its content.
As such, copyright for articles published in this journal is retained by the authors, under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). The CC BY license permits commercial and non-commercial reuse. Such access is associated with increased readership and increased citation of an author's work. For more information on this approach, see the Public Knowledge Project, the Directory of Open Access Journals, or the Budapest Open Access Initiative.
The CC BY 4.0 license allows users to copy, distribute and adapt the work in any way, provided that they properly point to the author. Therefore, the editorial board of the journal does not prevent from placing published materials in third-party repositories. In order to protect manuscripts from misappropriation by unscrupulous authors, reference should be made to the original version of the work.
