Measuring the Complexity of User Processes using Shannon Entropy and Stochastic Petri Nets
Konferenční objektOmezený přístuppeer-reviewedpostprintSoubory
Datum publikování
2017
Autoři
Vedoucí práce
Oponent
Název časopisu
Název svazku
Vydavatel
SciTePress - Science and Technology Publications
Abstrakt
Measuring complexity of processes or systems is currently a very popular topic. There is a wide range of defined complexity measures that quantify features such as legibility, modifiability, uncertainty, comprehensibility, easiness of implementation, user-friendliness and many others. The content of this work is a presentation of a method for quantification of complexity using Shannon entropy and stochastic Petri nets. Shannon entropy and Petri nets are an appropriate combination because they allow analysing the complexity of processes not only in terms of their structure but also in terms of their dynamic development under tension. On a simple example are outlined possible analyses and the correlation analysis examines the comparability with other selected complexity measures.
Rozsah stran
p. 212-217
ISSN
Trvalý odkaz na tento záznam
Projekt
SGS_2017_017/Podpora rozvoje chytrých měst a regionů
Zdrojový dokument
Proceedings of the International Conference on Computer-Human Interaction Research and Applications CHIRA 2017
Vydavatelská verze
http://www.scitepress.org/PublicationsDetail.aspx?ID=dgIKtekrdO8=&t=1
Přístup k e-verzi
pouze v rámci univerzity
Název akce
International Conference on Computer-Human Interaction Research and Applications CHIRA 2017 (31.10.2017 - 02.11.2017, Funchal)
ISBN
978-989-758-267-7
Studijní obor
Studijní program
Signatura tištěné verze
Umístění tištěné verze
Přístup k tištěné verzi
Klíčová slova
User-Friendliness, Petri Nets, Entropy, Complexity, Measure, Process