Fuzzy-logical self-organisation system modelling—Illustrating case of self-organisation Czech restaurants during the Covid-19 pandemic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F23%3APU149567" target="_blank" >RIV/00216305:26510/23:PU149567 - isvavai.cz</a>
Výsledek na webu
<a href="https://onlinelibrary.wiley.com/doi/full/10.1002/sres.2987" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1002/sres.2987</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/sres.2987" target="_blank" >10.1002/sres.2987</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Fuzzy-logical self-organisation system modelling—Illustrating case of self-organisation Czech restaurants during the Covid-19 pandemic
Popis výsledku v původním jazyce
The aim of this paper is to show how Niklas Luhmann's concept of self-organization can be formalized using fuzzy logic. This approach is based on the shared assumptions of systems theory and fuzzy logic and focuses on natural language expression and the complexity of social processes. It involves modelling the operations of the system in relation to the fuzziness of the environment, that is, the transformation of environmental stimuli in gradual uncertainty to binary codes of communication. Based on these operations, it is possible to formalize their unified pattern, which shows the observation of past operations and the simultaneous observation of the environment. An example is given of the formalization of restaurant self-organization in the Czech Republic during the Covid-19 pandemic. The model illustrates and explains how the restaurant system reduces lockdown as an environment, in other words, how the system stabilizes its behaviour in a complex pandemic period.
Název v anglickém jazyce
Fuzzy-logical self-organisation system modelling—Illustrating case of self-organisation Czech restaurants during the Covid-19 pandemic
Popis výsledku anglicky
The aim of this paper is to show how Niklas Luhmann's concept of self-organization can be formalized using fuzzy logic. This approach is based on the shared assumptions of systems theory and fuzzy logic and focuses on natural language expression and the complexity of social processes. It involves modelling the operations of the system in relation to the fuzziness of the environment, that is, the transformation of environmental stimuli in gradual uncertainty to binary codes of communication. Based on these operations, it is possible to formalize their unified pattern, which shows the observation of past operations and the simultaneous observation of the environment. An example is given of the formalization of restaurant self-organization in the Czech Republic during the Covid-19 pandemic. The model illustrates and explains how the restaurant system reduces lockdown as an environment, in other words, how the system stabilizes its behaviour in a complex pandemic period.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE
ISSN
1092-7026
e-ISSN
1099-1743
Svazek periodika
20.11.2023
Číslo periodika v rámci svazku
20.11.2023
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
18
Strana od-do
„“-„“
Kód UT WoS článku
001106498100001
EID výsledku v databázi Scopus
2-s2.0-85177182802