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 …

In this paper, an approach for modeling and analysis of time critical, dynamic and complex
systems using stochastic Petri nets together with fuzzy sets is presented. The presented …

This paper proposes a linguistic reasoning Petri net (LRPN) model and develops an ordered
weighted linguistic reasoning (OWLR) algorithm for knowledge representation and …

Abstract Petri nets and Fuzzy Petri nets as modeling formalism are not adaptable according
to the changes of the arc weight. Weights are the parameters that represent the new …

Fuzzy Petri nets (PNs) discussed in the literature are usually considered as expert systems
involving fuzzy-based reasoning. They are used as decision support or monitoring systems …

Items sold in a store can usually be organized into a concept hierarchy according to a
taxonomy. Based on the hierarchy, sequential patterns can be found not only at the leaf …

In this paper, a fuzzy Petri net (FPN) approach to modeling fuzzy rule-based reasoning is
proposed to determining confidence values for bases called in DNA sequencing. The …

UML is known as one of the most common methods in software engineering. since this
language is semi formed, many researches and effort have been performed to transform this …

To monitor the patient behavior, data are collected from patient's body by a medical
monitoring device so as to calculate the output using embedded software. Incorrect …

The integration of AI and DBMS technologies promises to play a significant role in shaping
the future of computing. AI/DB integration is crucial not only for next generation computing …