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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10100 - Mathematics

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-1-72811-401-9

ISSN

—

e-ISSN

2453-7314

Počet stran výsledku

8

Strana od-do

245-252

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Žilina

Datum konání akce

25. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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