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  • 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 to propose 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.
  • 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 to propose 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. (en)
Title
  • Uncertainty measure of process models using entropy and petri nets
  • Uncertainty measure of process models using entropy and petri nets (en)
skos:prefLabel
  • Uncertainty measure of process models using entropy and petri nets
  • Uncertainty measure of process models using entropy and petri nets (en)
skos:notation
  • RIV/00216275:25410/13:39896640!RIV14-MSM-25410___
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  • 112555
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  • RIV/00216275:25410/13:39896640
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  • process measure; Petri nets; entropy; behavioural analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [45DA611DF351]
http://linked.open...v/mistoKonaniAkce
  • Reykjavík
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  • Setubal
http://linked.open...i/riv/nazevZdroje
  • ICSOFT 2013 - Proceedings of the 8th International Joint Conference on Software Technologies
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http://linked.open...UplatneniVysledku
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  • Ibl, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
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  • 978-989-8565-68-6
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  • 25410
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