@inproceedings{nokey,

title = {Evidence Theory for Complex Engineering System Analyses},

author = {Ivanov V.K. and Palyukh B.V. and Sotnikov A.N.},

url = {https://disk.yandex.ru/i/fX5RX5zKG_vNVw},

doi = {10.1007/978-3-030-01818-4_7},

isbn = {978-3-03-001817-7},

year  = {2018},

date = {2018-09-30},

urldate = {2018-09-30},

booktitle = {Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18)},

volume = {874},

number = {7},

pages = {70–79},

publisher = {Springer, Cham},

abstract = {The evolution of manufacturing systems with internal multistage 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.},

keywords = {assessment, diagnostics, dynamic environment, evidence theory, innovation, innovation index, multistage production process},

pubstate = {published},

tppubtype = {inproceedings}

}