A study of fuzzy logical petri nets and its application

Abstract

In this paper, a fuzzy Petri net approach to modelling fuzzy rule-based reasoning is proposed. Logical Petri net (LPN) and fuzzy logical Petri net (FLPN) are defined. The backward reasoning algorithm based on sub-fuzzy logical Petri net is given. It is simpler than the conventional algorithm of forward reasoning from initial propositions. An application to the partial fault model of a car engine in paper Portinale's(1993) is used as an illustrative example of FLPN.

Object-Oriented Petri Net Modeling and Analysis of China Railway Container Freight Yard Logistic System

“…It uses CPN to describe objects, uses transition and directed arc to describe communication relations among objects. The definition of OPN is as follows [1][2][3][4]: Definition 1: A system S is composed of mutually communicating physical objects and their communication relations…”

“…In order to overcome these disadvantages, Lee [1] and Wang [2,3] proposed the object-oriented petri net (OPN) which came from the combination of object-oriented modeling and colored petri net (CPN). The OPN is widely used in the filed of manufacturing system modeling and Control [4,5]. Some researchers used the OPN in container logistic system, Zhang and Jiang [6] used R-OPN for modeling and analysis of container terminal logistic system.…”