Intuitionistic Fuzzy Sets for Estimating the Parameters of Distributive Task

  • Alexander BozhenyukEmail author
  • Margarita Knyazeva
  • Olesiya Kosenko
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)


This article proposes an approach to assessing factors that affect the solution of distribution problems. Distribution tasks are widely used at present. The system principle of investigating the objects of the distribution system corresponds to the understanding that when studying them it is necessary to start from internal connections and multilateral interdependencies between a large number of elements. The increase of the system parameters allows to optimize complex resource allocation problems and to take into account a greater number of factors affecting the final result. One of the important parameters of the distribution system is demand. A correct definition of the magnitude of demand affects the solution of several problems: planning and organization of production procedure; calculation of optimal levels of orders for resources, as well as the determination of volumes and the rational functioning of the transport subsystem. Since the total number of factors influencing the level of demand is very high, an expert needs a tool to distinguish groups of such factors. In order to solve this problem it is proposed to use intuitionistic fuzzy sets, which allow to take into consideration the influence degree of factors on the controlled parameter. This approach allows a large number of unordered factors to be converted into a small number of significant and agreed factors, which can provide the basis for a visual and informative analysis.


Distribution of resources Fuzzy parameters Factors of influence Intuitionistic fuzzy set Measure of similarity 



This work has been supported by the Russian Foundation for Basic Research, Project № 18-01-00023a.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alexander Bozhenyuk
    • 1
    Email author
  • Margarita Knyazeva
    • 1
  • Olesiya Kosenko
    • 1
  1. 1.Southern Federal UniversityTaganrogRussia

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