loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
7th International Conference on Hybrid Intelligent Systems (HIS 2007)
Generating Fuzzy Rules from Examples Using the Particle Swarm Optimization Algorithm
Kaiserslautern, Germany
September 17-September 19
ISBN: 0-7695-2946-1
ASCII Text
x 
 
A. A. A. Esmin, "Generating Fuzzy Rules from Examples Using the Particle Swarm Optimization Algorithm," Hybrid Intelligent Systems, International Conference on, pp. 340-343, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007.
 
 
BibTex
x
 
@article{ 10.1109/HIS.2007.52,
author = {A. A. A. Esmin},
title = {Generating Fuzzy Rules from Examples Using the Particle Swarm Optimization Algorithm},
journal ={Hybrid Intelligent Systems, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2946-1},
pages = {340-343},
doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2007.52},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Hybrid Intelligent Systems, International Conference on
TI - Generating Fuzzy Rules from Examples Using the Particle Swarm Optimization Algorithm
SN - 0-7695-2946-1
SP340
EP343
A1 - A. A. A. Esmin,
PY - 2007
KW - null
VL - 0
JA - Hybrid Intelligent Systems, International Conference on
ER -
 
A. A. A. Esmin, Federal University of Lavras, Campus Universit?rio, Lavras
The use of Fuzzy Logic to solve control problems have been increasing considerably in the past years. The problem of generating desirable fuzzy rules is very important in the development of fuzzy systems. It is known that the fuzzy control rules for a control system is always built by designers with trial and error and based on their experience or some experiments. This paper presents a generation method of fuzzy rule by learning from examples using the Particle Swarm Optimization method (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.
Citation:
A. A. A. Esmin, "Generating Fuzzy Rules from Examples Using the Particle Swarm Optimization Algorithm," his, pp.340-343, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007
Usage of this product signifies your acceptance of the Terms of Use.