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2014 | 14[29] | 4 |

Article title

Application of fuzzy inference system to increase efficiency of management decision-making in agricultural enterprises

Content

Title variants

Languages of publication

EN

Abstracts

EN
Application of fuzzy inference system to increase efficiency of management decisionmaking in agricultural enterprises. Theoretical and methodological issues, practical recommendations on improvement of management decision-making in agricultural enterprises to increase their competitiveness have been intensified and developed in the article. A simulation example of a quality management system for agricultural products on the basis of the theory of fuzzy sets and fuzzy logic has been proposed. The factors that affect the quality of agricultural products have been defined.

Keywords

Year

Volume

Issue

4

Physical description

p.15–24,fig.,ref.

Contributors

  • Department of Management, named after Prof. Zavads’kyi, National University of Life and Environmental Sciences of Ukraine, Ukraine
  • Department of Management, named after Prof. Zavads’kyi, National University of Life and Environmental Sciences of Ukraine, Ukraine

References

  • Asai K. [1993]: Applied fuzzy systems [ln. Japanese] / Ed. Tara T., K. Asai, M. Sugeno. – M: Mir: p. 368.
  • Borisov A.N. [1990]: Decision-making based on fuzzy models. Examples of models / Borisov A.N., Krumberg O.A., Fedorov I.P. – Riga: Zinatne: p. 184.
  • Kabushkin N.I. [1999]: Tourism Management: Manual. / Kabushkin N.I. – Mn.: BGEU: p. 644.
  • Knorring V.I. [2001]: Theory, practice and art of management. Textbook for high schools in the specialty "Management". – 2nd ed., Rev. and add. / Knorring V.I – M.: Publisher NORMA (Publishing Group NORMA – INFRA): p. 528.
  • Leonenkov A.V. [2005]: Fuzzy modeling environment and MATLAB fuzzyTECH / Leonenkov A.V. – St. Petersburg.: BHV-Petersburg: p. 736.
  • Meskon M. [1992]: Fundamentals of Management: Trans. from English. / Meskon M., Albert M., Hedouri F. – Moscow: Delo: p. 701.
  • Shtovba S.D. [2007]: Design of fuzzy systems by means of MATLAB / Shtovba S.D. – Moscow: Hotline – Telecom: p. 288.
  • Lofti A. ZADEH. [2002]: Toward a perception-based theory of probabilistic reasoning with imprecise probabilities. Journal of Statistical Planning and Inference № 105: 233–264.
  • Mamdani E.H. [1974]: Application of fuzzy algorithms for the control of a simple dynamic plant / Mamdani E.H. // Proc. IEEE: 121–159.

Notes

PL
Rekord w opracowaniu

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.cejsh-from-agro-a7c42131-096d-4ca2-bf5a-acaf0465a248
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