Paper Info
Title
Generate and optimize fuzzy rules using the Particle Swarm Algorithm
Abstract
The success of fuzzy application to solve the control problems depends on a number of parameters, such as fuzzy rules and membership functions. The problem of generating desirable fuzzy rules is very important in the development of fuzzy systems, which are usually decided upon subjectively. This paper describes a very simple and straightforward fuzzy rule generation and optimization technique by using the Particle Swarm Optimization Algorithm (PSO). The proposed algorithm can obtain a set of fuzzy rules which cover the examples set in iterative process. The proposed method is tested with promising results.
Year
DOI
Venue
2010
10.1109/ICSMC.2010.5642488
Systems Man and Cybernetics
Keywords
Field
DocType
fuzzy control,particle swarm optimisation,PSO algorithm,control problems,fuzzy rules optimization,fuzzy systems,membership function,particle swarm optimization algorithm
Neuro-fuzzy,Mathematical optimization,Defuzzification,Fuzzy classification,Fuzzy set operations,Computer science,Fuzzy logic,Fuzzy transportation,Artificial intelligence,Fuzzy number,Machine learning,Fuzzy rule
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-4244-6586-6
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Ahmed Ali Abdalla Esmin1333.82
Germano Lambert-torres25919.17
Lambert-Torres, G.300.34