Detail publikace

Fuzzy-logical self-organisation system modelling—Illustrating case of self-organisation Czech restaurants during the Covid-19 pandemic

ŠERÁ, E. DOUBRAVSKÝ, K. SCHÜLLER, D.

Originální název

Fuzzy-logical self-organisation system modelling—Illustrating case of self-organisation Czech restaurants during the Covid-19 pandemic

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

fuzzy logic; Luhmann's theory; modelling; self-organisation; unccrtainty

Autoři

ŠERÁ, E.; DOUBRAVSKÝ, K.; SCHÜLLER, D.

Vydáno

20. 11. 2023

Nakladatel

John Wiley & Sons Ltd

Místo

111 RIVER ST, HOBOKEN 07030-5774, NJ

ISSN

1092-7026

Periodikum

SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE

Ročník

20.11.2023

Číslo

20.11.2023

Stát

Spojené království Velké Británie a Severního Irska

Strany počet

18

URL

BibTex

@article{BUT185372,
  author="Eva {Šerá} and Karel {Doubravský} and David {Schüller}",
  title="Fuzzy-logical self-organisation system modelling—Illustrating case of self-organisation Czech restaurants during the Covid-19 pandemic",
  journal="SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE",
  year="2023",
  volume="20.11.2023",
  number="20.11.2023",
  pages="18",
  doi="10.1002/sres.2987",
  issn="1092-7026",
  url="https://onlinelibrary.wiley.com/doi/full/10.1002/sres.2987"
}