Abstract
The paper presents a usage of softcomputing methods to reliability and functional analysis of sophisticated complex systems. The approach is sensible since dependability parameters of the system are mostly approximated by experts instead of classical sources of data. The analyzed - Computer Information System (CIS) and Discrete Transport System (DTS) - are modelled using the unified structure - in functional sense. Results of numerical experiment performed on a test case scenario related to the reliability, economic and functional aspects using softcomputing are given. The presented approach allows reducing the problem of assumptions of reliability distributions and - this way - seems to be very interesting for real systems management and tuning. © 2014 Springer International Publishing.
Cite
CITATION STYLE
Mazurkiewicz, J. (2014). Complex system analysis using softcomputing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8468 LNAI, pp. 524–535). Springer Verlag. https://doi.org/10.1007/978-3-319-07176-3_46
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