We know that increasing fuel consumption, high environmental pollution and time wasting are the visible results of high traffic density. Developing new directions or even highways is alternative way to solve this problem. It may add several junctions. Therefore junction controlling is very important, because their usual operation will cause problem if they remain without control. This not only ...

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 method consists of two stages. The first stage is same as the conventional stochastic Petri nets with the difference that the steady-state probabilities are obtained parametrically in terms of transition firing rates....

The immune system has unique defense mechanisms such as innate, humoral and cellular immunity. These mechanisms are closely related to prevent pathogens from spreading in the host and to clear them effectively. To get a comprehensive understanding of the immune system, it is necessary to integrate the knowledge through modeling. Many immune models have been developed based on differential equat...

This paper addresses the problem of modeling and automated recognition of complex behavior patterns in video sequences. We introduce a new concept of Fuzzy Semantic Petri Nets (FSPN) and discuss their application to recognition of video events. FSPN are Petri nets coupled with an underlying fuzzy ontology. The ontology stores assertions (facts) concerning classification of objects and detected ...

    Discrete event system,   Supervisory control,   Petri Net, Constraint   This paper presents a method to manage the time in a manufacturing system for obtaining an optimized model. The system in this paper is modeled by the timed Petri net and the optimization is performed based on the structural properties of Petri nets. In a system there are some states which are called forbidden states an...

Approximate Petri nets (AP-nets) can be used for the knowledge representation and approximate reasoning. The AP-net model is defined on the basis of the rough set approach, fuzzy Petri nets and coloured Petri nets. One of the main advantages of AP-net model is a possibility to present the reachability set of a given AP-net by means of an occurrence graph. Such graphs can serve, among others, fo...

Abstract The paper describes the analysis of application classic and optimized triangular norms in hierarchical structure weighted fuzzy Petri nets on example passenger transport logistics. research is presented a scheme with several levels tasks. Each task includes some knowledge sets which were previously given by experts set into tables “Object–property” type. It leads to creation net model ...