Abstract
The article deals with the problem of moving flows in mechanical transport systems suitable for prevention or greatly decreasing the probability of emergency situations. The solution is based on minimizing costs during transportation. Routing methods considering the specifics of the MTS are analyzed. It’s developed routing algorithm with protective correction of flows with fuzzy temporal variability of adaptation. The algorithm consists in definition and establishment of high value of transportation cost on the particular segment of network on a fuzzy time interval. Methods for determining the parameters of protective correction of flows are studied. A structural diagram of the MTS, considering the protective correction, is presented. The diagram is implemented by introduction an intelligent module into the structure. Module operation feature is the use of case-based reasoning. The example of the implementation of protective correction of flows is given.
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Acknowledgments
This work has been supported by supported by the Council for Grants (under RF President) and State Aid of Leading Scientific Schools (Grant MK-521.2017.8).
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Belyakov, S., Savelyeva, M., Kiyashko, D., Lashchenkova, A. (2018). Decision-Making on Flow Control Under Fuzzy Conditions in the Mechanical Transport System. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-319-66830-7_16
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DOI: https://doi.org/10.1007/978-3-319-66830-7_16
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