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.
The work was supported by Russian Fundamental Research Fund, project No. 17-20-01040.
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Shabelnikov, A.N., Lyabakh, N.N., Malishevskaya, N.A. (2019). Multidimensional Linguistic Variables and Their Application for Resolving the Tasks of Marshaling Processes Automation. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 875. Springer, Cham. https://doi.org/10.1007/978-3-030-01821-4_32
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DOI: https://doi.org/10.1007/978-3-030-01821-4_32
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