Abstract
The evolution of manufacturing systems with internal multi-stage processes takes place in a fuzzy dynamic environment. One of the instruments of system component state and property modelling is a mathematical theory of evidence. The article examines some examples of the evidence theory applications which deal with the two different stages of the system development. In particular, the problem of simulation, diagnostics, and assessment of complex engineering system states is considered. Necessity and sufficiency conditions of critical component states are shown to be relaxed. The other example of the evidence theory application illustrates the quantitative assessment approach to technical system component innovation. The coprocessing of primary innovation data is taken up, with the data being retrieved from various sources with different measurement and expert appraisal completeness and reliability.
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Acknowledgment
The work was supported by RFBR (Projects No. 18-07-00358 and No. 17-07-01339).
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Palyukh, B., Ivanov, V., Sotnikov, A. (2019). Evidence Theory for Complex Engineering System Analyses. 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 874. Springer, Cham. https://doi.org/10.1007/978-3-030-01818-4_7
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DOI: https://doi.org/10.1007/978-3-030-01818-4_7
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