This article proposes a generalized definition of the fuzzy Petri net (FPN) and the reasoning structures of transitions in the FPN. Three types of fuzzy ...
A fuzzy Petri net is used to model the incomplete, uncertain, and approximate information associated with firing of transitions and changing of states in ...
Representation and Analysis of Uncertainty Using Fuzzy Petri Nets ...
www.semanticscholar.org › paper
A Rough Set and Fuzzy Neural Petri Net Based Method for Dynamic Knowledge Extraction, Representation and Inference in Cooperative Multiple Robot System.
It is possible to use Petri nets to represent fuzzy production rules of a rule-based system. In this article, we propose a modified fuzzy reasoning algorithm ...
The authors presents a knowledge representation technique for representing fuzzy knowledge using extended fuzzy Petri nets. Here the uncertainty factors of ...
Using a fuzzy Petri net to represent a robotic or manufacturing system, we are able to handle approximate information or uncertainty in the system. The ...
Nov 23, 2022 · Fuzzy Petri nets (FPNs) are a powerful modeling tool for the knowledge representation and reasoning of expert systems.
Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers. Sign up for an account to ...
Fuzzy Petri nets are defined in this paper using three types of fuzzy variables: local fuzzy variables, fuzzy marking variables, and global fuzzy variables.
Nov 23, 2022 · Fuzzy Petri nets (FPNs) are a powerful modeling tool for the knowledge representation and reasoning of expert systems.