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On Robust Markov Analysis for Reliability Assessment of Complex Systems using Imprecise Markov Chains

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244171" target="_blank" >RIV/61989100:27240/19:10244171 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85072544964&origin=resultslist&sort=plf-f&src=s&st1=&st2=&sid=11f48345559b6dd4e291abdf1f5ca7ec&sot=b&sdt=b&sl=117&s=TITLE-ABS-KEY+%28On+Robust+Markov+Analysis+for+Reliability+Assessment+of+Complex+Systems+using+Imprecise+Markov+Chains%29&relpos=0&citeCnt=0&searchTerm=" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85072544964&origin=resultslist&sort=plf-f&src=s&st1=&st2=&sid=11f48345559b6dd4e291abdf1f5ca7ec&sot=b&sdt=b&sl=117&s=TITLE-ABS-KEY+%28On+Robust+Markov+Analysis+for+Reliability+Assessment+of+Complex+Systems+using+Imprecise+Markov+Chains%29&relpos=0&citeCnt=0&searchTerm=</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/DT.2019.8813688" target="_blank" >10.1109/DT.2019.8813688</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Robust Markov Analysis for Reliability Assessment of Complex Systems using Imprecise Markov Chains

  • Original language description

    Markov analysis is a wide-spread tool for modelling interactions among components in complex systems. It is based on modelling the evolution of system&apos;s component states by Markov Chains. But, as in many other uncertainty models, it might often be overly optimistic to assume that we can construct a precise stochastic model which properly captures the uncertainties present in the investigated system. This issue is addressed by the theory of Imprecise Probabilities and, specifically for stochastic processes, by the theory of Imprecise Markov Chains. In this paper, we will demonstrate how Imprecise Markov Chains can not only serve as a robust alternative to classical stochastic models, but also how they can facilitate analyses by the means of problem dimension reduction and also, by die means of deliberate model construction, enable analyses which would not be possible by using solely precise probability models. (C) 2019 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10100 - Mathematics

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the International Conference on Information and Digital Technologies 2019, IDT 2019

  • ISBN

    978-1-72811-401-9

  • ISSN

  • e-ISSN

    2453-7314

  • Number of pages

    8

  • Pages from-to

    245-252

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Žilina

  • Event date

    Jun 25, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article