Abstract Fuzzy Petri nets (FPNs) are a potential modeling technique for knowledge
representation and reasoning of rule-based expert systems. To date, many studies have …

Although a promising tool for knowledge representation and reasoning, fuzzy Petri nets
(FPNs) still suffer from some deficiencies. First, the parameters in current FPN models, such …

This correspondence presents a high-level fuzzy Petri net (HLFPN) model to represent the
fuzzy production rules of a knowledge-based system, where a fuzzy production rule is the …

Fuzzy Petri nets (FPNs) are a promising modeling tool for knowledge representation and
reasoning of rule-based expert systems. However, there exist limitations in representing …

The two most important issues of expert systems are the acquisition of domain experts'
professional knowledge and the representation and reasoning of the knowledge rules that …

Fuzzy Petri nets (FPNs) have been applied in many fields as a potential modeling tool for
knowledge representation and reasoning. However, there exist many deficiencies in the …

The expert knowledge captured and stored in an expert system makes it possible for
nonexperts to solve a particular problem. This expert knowledge is usually expressed in …

Abstract Fuzzy Petri nets (FPNs) are a powerful modeling tool for the knowledge
representation and reasoning of expert systems. During the past decades, a variety of …

Fuzzy Petri nets (FPNs) are a useful instrument for modelling expert systems to conduct
knowledge representation and reasoning. Many studies have been carried out for improving …

Fuzzy Petri net (FPN) provides an extremely competent basis for the implementation of
computing reasoning processes and the modeling of systems with uncertainty. This paper …