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Multidimensional Linguistic Variables and Their Application for Resolving the Tasks of Marshaling Processes Automation

  • Alexandr N. Shabelnikov
  • Nikolai N. Lyabakh
  • Natalia A. Malishevskaya
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 875)

Abstract

Role of multi-dimensional fuzzy sets is updated in the task of railway wagons marshaling processes automation, expanding the resolved tasks range and increasing their solution accuracy. Two identification methods of multi-dimensional functions in tabular form, using univariate membership functions, are developed. Particularly, it is a synthesis based on the operation of fuzzy sets intersection, and a sequential synthesis algorithm for membership functions. An approximation procedure is developed for multi-dimensional membership functions in the points not belonging to table nodes.

Keywords

Automation of marshaling processes Fuzzy sets Multi-dimensional linguistic variables Operations with fuzzy sets Approximation 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alexandr N. Shabelnikov
    • 1
    • 2
  • Nikolai N. Lyabakh
    • 1
    • 2
  • Natalia A. Malishevskaya
    • 1
  1. 1.Rostov State Transport UniversityRostov-on-DonRussia
  2. 2.JSC «NIIAS»Rostov-on-DonRussia

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