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

Abstract

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.