Abstract
The article presents a model combining the theory of fuzzy sets of Probability to the task of routing internal transport. This model apart from the literature of neural networks can be used to plan routes in intelligent transport systems in stock. The article described a model realizing the optimal setting of internal transport using the operator fuzzy Hamacher. By optimizing internal transport as well as internal roads, we can count on a significant reduction in manufacturing costs. Transport plants plays an important role in the mechanism of production. Depending on the type and nature of the enterprise, transport costs may be high on the hierarchy of the costs incurred by the company. A well-designed internal transport is not only lower costs but also the time and the quality of production.
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Topolska, K. (2017). Application Model Fuzzy-Probabilistic in Work Designation of Routes in Transport Internal. In: Mikulski, J. (eds) Smart Solutions in Today’s Transport. TST 2017. Communications in Computer and Information Science, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-319-66251-0_33
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DOI: https://doi.org/10.1007/978-3-319-66251-0_33
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