Fuzzy Method of Assessing the Intensity of Agricultural Production on a Set of Criteria of the Level of Intensification and the Level of Economic Efficiency of Intensification

  • Tamara V. Alekseychik
  • Taras V. Bogachev
  • Denis N. Karasev
  • Lyudmila V. SakharovaEmail author
  • Michael B. Stryukov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)


The aim is a fuzzy-multiple work to develop a methodology to assess the dynamics of agricultural development in the region on the basis of a set of diverse indicators, as well as to compare (Rangers) agricultural facilities or regions. The technique is shown on the application of multi-level standard net [0, 1]–classification. It allows you to calculate complex numerical score for the level of intensification of agriculture on the criteria of the two groups for any number of years studied: level of intensification of production in the economy of the silk and the level of economic efficiency of intensification of production on the farm the silk, and also give practical recommendations for the further development of agriculture in the region. The proposed method has the following advantages: (1) a simple calculation scheme; (2) taking into account the large number of Razor estimates of significant indicators; (3) the use of only indicators that objectively reflect the effectiveness of the use of material and financial resources of agriculture; (4) the possibility of deviations vest dressed in the studied indicators in a complex assessment of the intensity of agricultural production in the region; (5) universality, which allows to apply it to the assessment of the intensity of not only agricultural but also industrial production.


Methodology Complex estimation Intensity of agricultural production Indicators Theory of fuzzy sets 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Tamara V. Alekseychik
    • 1
  • Taras V. Bogachev
    • 1
  • Denis N. Karasev
    • 1
  • Lyudmila V. Sakharova
    • 1
    Email author
  • Michael B. Stryukov
    • 1
  1. 1.Rostov State University of EconomicsRostov-on-DonRussia

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