Uncertainty measure of process models using entropy and petri nets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F13%3A39896640" target="_blank" >RIV/00216275:25410/13:39896640 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Uncertainty measure of process models using entropy and petri nets

Popis výsledku v původním jazyce

In recent years, many measures of process models have been proposed to predict or quantify the number of specific properties. These properties may include readability, complexity, cohesion or uncertainty of process models. The content of this work is topropose a method that allows the measurement of uncertainty in the process models, which can be expressed in the form of a Petri net. The actual method works by mapping the set of all reachable marking of Petri net to Markov chain and subsequent quantification of steady-state probabilities of its states. Uncertainty is then quantified as the entropy of states in the Markov chain. Uncertainty can also be expressed as a percentage of the calculated entropy to the maximum entropy of a Petri net.

Název v anglickém jazyce

Uncertainty measure of process models using entropy and petri nets

Popis výsledku anglicky

In recent years, many measures of process models have been proposed to predict or quantify the number of specific properties. These properties may include readability, complexity, cohesion or uncertainty of process models. The content of this work is topropose a method that allows the measurement of uncertainty in the process models, which can be expressed in the form of a Petri net. The actual method works by mapping the set of all reachable marking of Petri net to Markov chain and subsequent quantification of steady-state probabilities of its states. Uncertainty is then quantified as the entropy of states in the Markov chain. Uncertainty can also be expressed as a percentage of the calculated entropy to the maximum entropy of a Petri net.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

ICSOFT 2013 - Proceedings of the 8th International Joint Conference on Software Technologies

ISBN

978-989-8565-68-6

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

542-547

Název nakladatele

Institute for Systems and Technologies of Information, Control and Communication (INSTICC)

Místo vydání

Setubal

Místo konání akce

Reykjavík

Datum konání akce

29. 7. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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