Complex Knowledge System Modeling Based on Hierarchical Fuzzy Petri Net

Author

Pan, Hongjun ; Sun, Jigui

Author_Institution

Jilin Univ., Changchun

fYear

2007

fDate

5-12 Nov. 2007

Firstpage

31

Lastpage

34

Abstract

The difficulties of modeling complex knowledge system lie in a large quantity of knowledge rules and the difficulty in organizing rules and grasping their mutual logical relationships. This article proposed a concept of hierarchical fuzzy Petri nets (HFPN), which is more suitable for modeling complex knowledge system than other fuzzy Petri net models. In addition, the concepts of abstract place and abstract transition in HFPN are allowed to describe and analyze the knowledge system at diverse abstract levels. Therefore, using HFPN, the iterative and incremental methods can be applied to modeling complex knowledge system. In addition, structured approach can be naturally applied to the process of modeling knowledge system.

Keywords

Petri nets; fuzzy set theory; iterative methods; knowledge based systems; abstract place; abstract transition; complex knowledge system modeling; hierarchical fuzzy Petri net; incremental method; iterative method; knowledge base system; knowledge rules; mutual logical relationships; Computer science; Conferences; Educational institutions; Educational technology; Fuzzy logic; Fuzzy systems; Intelligent agent; Knowledge based systems; Petri nets; Sun; knowledge base systemHierarchical Fuzzy Petri Nets (HFPN)modeling approach;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Intelligence and Intelligent Agent Technology Workshops, 2007 IEEE/WIC/ACM International Conferences on

Conference_Location

Silicon Valley, CA

Print_ISBN

0-7695-3028-1

Type

conf

DOI

10.1109/WI-IATW.2007.43

Filename

4427533