FORMATION OF THE TARGET INDICATORS OF REGIONAL DEVELOPMENT STRATEGY USING FUZZY LOGIC ALGORITHMS
Table of contents
Share
QR
Metrics
FORMATION OF THE TARGET INDICATORS OF REGIONAL DEVELOPMENT STRATEGY USING FUZZY LOGIC ALGORITHMS
Annotation
PII
S042473880000616-6-1
Publication type
Article
Status
Published
Pages
30-39
Abstract
The article deals with the strategy of regional development on the basis tools of economic-mathematical modeling of social and economic systems. Preliminary analysis of approaches and software solutions in this sphere showed that in the first instance the aspects of definition of the quantitative characteristics require consideration of the purposes of development and elaboration of regulatory impact for their achievement. The approach to formation of the indicative plan and parameters of control within justification of medium-term strategy of regional development, integrating procedures of the goal-setting and regulation, characterized by the existence of indistinct algorithm of classification of situations and corrections the values of parameters of management in the conditions of mutual adaptation of interests of the various subsystems of the region. Criteria of assessment of the situation, function of accessory and base of indistinct rules were developed for use of methods of fuzzy logic. Besides, created the complex of adjustment rules of the control parameters. The proposed approach allows to associate a model of functioning of the economic agents with a model definition of the objectives of regional development into a unified system of feedback control, and ensure the most efficient use of resources at the formation of the medium-term strategy of regional development.
Keywords
regional development strategy, indicative plan, modeling, fuzzy logic
Date of publication
01.04.2016
Number of purchasers
1
Views
908
Readers community rating
0.0 (0 votes)
Cite   Download pdf
1

References



Additional sources and materials

Ataeva A.G., Islamova D.V., Mustafin Eh.R., Oreshnikov V.V. (2011). Sravnitel'nyj analiz modelej regional'nogo razvitiya // Upravlenie ehkonomicheskimi sistemami (ehlektronnyj zhurnal). [Ehlektronnyj resurs] № 10(34). UEhkS. Kislovodsk: NOU

VPO "Kislovodskij institut ehkonomiki i prava". Rezhim dostupa: http://uecs.ru/component/flexicontent/items/item/737-2011-10-31-06-45-59?pop=1&tmpl=component&print=1, svobodnyj. Zagl. s ehkrana. Yaz. rus. (data obrascheniya: iyul' 2015 g.).                  

Bakhtizin A.R. (2008). Ispol'zovanie CGE-modelej dlya otsenki ehffektivnosti upravlencheskikh reshenij // Problemy upravleniya. № 5. S. 36-42.                3.           Gajnanov D.A., Ataeva A.G., Gafarova E.A., Migranova L.I., Nizamutdinov M.M.,

Nagimov R.M., Oreshnikov V.V., Yamilova L.S. (2014). Instrumentarij i tekhnologii modelirovaniya razvitiya territorial'nykh sistem regional'nogo i munitsipal'nogo urovnej. Ufa: ISEhI UNTs RAN.       

Il'yasov B.G., Degtyareva I.V., Makarova E.A., Valitov R.R. (2012). Sistema intellektual'noj podderzhki prinyatiya reshenij pri upravlenii makroehkonomicheskim vosproizvodstvennym protsessom na osnove imitatsionnogo modelirovaniya // Vestnik UGATU. № 3. S. 217-229.                  

Makarov V.L., Bakhtizin A.R. (2009). Novyj instrumentarij v obschestvennykh naukakh - agent-orientirovannye modeli: obschee opisanie i konkretnye primery // Ehkonomika i upravlenie. № 12. S. 13-25.         

Nizamutdinov M.M. (2009). Imitatsionnoe modelirovanie kak instrument obosnovaniya srednesrochnykh strategij regional'nogo razvitiya // Ehkonomika i upravlenie: nauchno-prakticheskij zhurnal. № 5. S. 104-110.     

Pechatkin V.V. (2013). Investitsionno-innovatsionnoe razvitie regionov Rossii: klyuchevye problemy i napravleniya ikh resheniya // Ehkonomicheskoe vozrozhdenie Rossii. № 3. S. 75-78.     

Suspitsyn S.A. (2009). Kontsept-modeli strategicheskogo prognozirovaniya i indikativnogo planirovaniya regional'nogo razvitiya // Region: ehkonomika i sotsiologiya. № 1. S. 40-63.                 

Uzyakov M.N. (2000). Problemy postroeniya mezhotraslevoj modeli ravnovesiya rossijskoj ehkonomiki // Problemy prognozirovaniya. № 2. S. 18-33.                   

Fattakhov R.V. (2012). Sistema modelej otsenki krupnomasshtabnykh investitsionnykh proektov v regione // Vestnik Finansovogo universiteta. № 2. S. 88-100.                   

Amisano G., Geweke J. (2013). Prediction Using Several Macroeconomic Models. Working paper series No. 1537.            

Andriantiatsaholiniaina L.A., Kouikoglou V.S., Phillis Y.A. (2004). Evaluating Strategies for Sustainable Development: Fuzzy Logic Reasoning and Sensitivity Analysis // Ecological Economict. No. 48. P. 149-172.         

Fromm G., Klein L.R., Schink G.R. (1972). Short- and Long-Term Simulations with the Brookings Model // Econometric Modelt of Cyclical Behavior. Vol. 1-2. P. 201-292.             

Robinson Sh. (2006). Macro Models and Multipliers: Leontief, Stone, Keynes, and CGE-Models // New York: Springer Science. No. 11. P. 205-232.

Comments

No posts found

Write a review
Translate