Uncertainty measure of process models using entropy and petri nets

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Uncertainty measure of process models using entropy and petri nets
Original language description
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.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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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Number of pages
6
Pages from-to
542-547
Publisher name
Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
Place of publication
Setubal
Event location
Reykjavík
Event date
Jul 29, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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