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Balanced Fuzzy Petri Nets

Department of Cognitive Science and Mathematical Modeling, University of Information Technology and Management, Al. Sucharskiego 2, 35–225 Rzeszow, Poland

E-mail Address: bfryc@wsiz.edu.pl

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Zofia Matusiewicz

https://orcid.org/0000-0003-0523-0983

Department of Cognitive Science and Mathematical Modeling, University of Information Technology and Management, Al. Sucharskiego 2, 35–225 Rzeszow, Poland

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https://doi.org/10.1142/S0129626423400133Cited by:1 (Source: Crossref)

This article is part of the issue:

Special issue on Novel Computational Approaches to the Universe
(Guest Editors: Andrew Schumann and Jerzy Król)

Abstract

The paper presents a new Petri Net model: BFPN. Balanced Fuzzy Petri Nets make it possible to model processes that consider gain and loss calculations at the same time. Many business processes need to consider the ability to model a scarcity or loss situation. Balanced fuzzy sets and relations allow a complete visualization and interpretation of the processes.

This article is part of the “Special Issue on Novel Computational Approaches to the Universe”, edited by Andrew Schumann and Jerzy Król (University of Information Technology and Management in Rzeszow, Poland).

Keywords:

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