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2016 | 24 | nr 3 | 47--61
Tytuł artykułu

Improving of Business Planning Using the Method of Fuzzy Numbers

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: Summarize the experience of using modern methods in the business plan with the application of economic and mathematical modeling.

Methodology: Theoretical and methodological basis of the study is the basic principles of economic theory, agricultural economics and scientific research of leading home and foreign scholars on the theory of planning.

Originality: This further justifies business planning processes in agriculture from the standpoint of raising economic protection of farmers. The methodology for assessing farm income for planned indicators through the application of fuzzy numbers method in business planning is improved. (original abstract)
Rocznik
Tom
24
Numer
Strony
47--61
Opis fizyczny
Twórcy
  • Lviv National Agrarian University, Ukrain
Bibliografia
  • Altunyn, A.E. and Semhyn, M.V. (2000). Models and algorithms for decision making in fuzzy conditions. Tyumen: Tyumen State University.
  • Berezovsky, P.S. and Mykhalyuk, N.I. (2004). The organization, forecasting and planning of agriculture. Lviv: "Magnolia Plus"; SPD FL V. M. Picha.
  • Chopra V.K. (1998). The Effects of Errors in Means, Variances, and Covariances on Optimal Portfolio Choice. In: V.K. Chopra and W.T. Ziemba (eds.), Worldwide Asset And Liability Modeling. Cambridge: Cambridge University Press.
  • Drobot, V.I., Martianov, V.P., Soloviev M.F. et al. (2003). The business plan of agricultural enterprises: teach. guidance.
  • Drucker, P. (1994). How to ensure business success, innovation and entrepreneurship. Transl. from English. Ukraine.
  • Grebennikov, E.V. and Trofimov, V.V. (2007). Messenger of Russian state trade-economic university. 4(20): 133-141.
  • Hubeni J.E. and Kostetska, I. (2011). Modern methods in business planning. Economy of AIC, 6: 90-93.
  • Hubeni, Y. (2012). Entrepreneurship: a tutorial. L.: Eng. Sc. 2012.
  • Klebanov, T.S. and Zabrodskyy, V.A. et al. (2001). Modeling economy. Kharkiv: Vol. HSEU.
  • Lynenko, A.V. (2007). Features of business plan. In: A.V. Lysenko and N.V. Haltobina, Countries and regions, 2.
  • Maryuta, O.M. and Boytsun, N.E. (2002). Statistical methods and models in economics. Dnepropetrovsk.
  • Nedosekin, A. (2003). Fuzzy Financial Management, http:/sedok.narod.ru/ index.html (20.12.2014).
  • Sizonenko V.A. (2003). Modern business: directory. Knowledge Press.
  • Syavavko, C. (1999). Fuzzy modeling of AIC. Theory and practice of agriculture: Proceedings of the International Scientific Conference. Lviv: Lviv State Agrarian University.
  • Vovk, S. and Syavavko, M. (1999). The concept of game theory and statistical solutions in the agricultural sector with fuzzy input information. Theory and practice of agriculture: Proceedings of the International Scientific Conference. Lviv: Lviv State Agrarian University.
  • Zadeh, L.A. (1978). Fuzzy Sets as a Basis for a Theory of Possibility. In: Fuzzy Sets and Systems, 1(1).
  • Zadeh, L.A. (2014). http://http.cs.berkeley.edu/People/Faculty/Homepages/ zadeh.html (20.12.2014).
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171441410

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