A multilevel weighted reasoning algorithm using Interactive Weighted Petri Nets

Author

Xu, Ying

Author_Institution

Ningbo Dahongying Educ. Group, Ningbo, China

Volume

1

fYear

2009

fDate

12-15 July 2009

Firstpage

509

Lastpage

514

Abstract

This paper presents a multilevel weighted fuzzy reasoning algorithm for rule-based system based on interactive weighted fuzzy Petri nets (IWFPN). The proposed algorithm allows the local weights in the antecedents of the rule are represented by fuzzy numbers corresponding to the fuzzy linguistic terms of weights due to the interaction exists among attributes. Given a set of observed facts, the algorithm can perform fuzzy reasoning to evaluate the fuzzy sets of conclusions and their corresponding certainty factor values automatically. The proposed algorithm can allow the rule-based systems to perform fuzzy reasoning more intelligently.

Keywords

Petri nets; fuzzy reasoning; fuzzy set theory; fuzzy linguistic terms; fuzzy sets; interactive weighted Petri nets; multilevel weighted reasoning algorithm; rule-based system; Cybernetics; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Knowledge based systems; Machine learning; Petri nets; Production; Uncertainty; Fuzzy linguistic terms; Interaction; Petri Nets;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212480

Filename

5212480