dc.contributor.author |
Elragal,Hassan M. |
|
dc.date.accessioned |
2018-07-23T09:45:57Z |
|
dc.date.available |
2018-07-23T09:45:57Z |
|
dc.date.issued |
2015 |
|
dc.identifier.issn |
2210-142X |
|
dc.identifier.uri |
https://journal.uob.edu.bh:443/handle/123456789/507 |
|
dc.description.abstract |
In this paper a method for improving accuracy of a Takagi-Sugeno type fuzzy system used in Matlab Fuzzy Logic Toolbox as genfis3 (Sugeno) is proposed. For this fuzzy system, the input space is partitioned using Fuzzy C-means (FCM) clustering algorithm and the consequent parameters are optimized using least square. This improvement is done in a two stage tuning using particle swarm optimization (PSO).In the first stage, PSO is used to optimize input membership functions (mean and variance) and consequent parameters of Takagi-Sugeno fuzzy system. In the second stage, PSO is used to optimize a weighting factor for the rules and a scaling universe of discourse for inputs and outputs variables. To simplify the tuning process and performing it in one optimization stage, a one stage tuning is also discussed to tune same parameters optimized in the two stage tuning. Experimental results with real data applied in data classification problem shows a consistency of getting higher classification accuracy with the proposed tuning methods over the original system. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
University of Bahrain |
en_US |
dc.rights |
Attribution-NonCommercial-ShareAlike 4.0 International |
* |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
* |
dc.subject |
Fuzzy system |
en_US |
dc.subject |
Particle swarm optimization |
en_US |
dc.subject |
Optimization of fuzzy system parameters |
en_US |
dc.title |
Takagi-Sugeno Fuzzy System Accuracy Improvement with
A Two Stage Tuning |
en_US |
dc.type |
Article |
en_US |
dc.identifier.doi |
http://dx.doi.org/10.12785/IJCDS/040405 |
|
dc.volume |
04 |
|
dc.issue |
04 |
|
dc.source.title |
International Journal of Computing and Digital Systems |
|
dc.abbreviatedsourcetitle |
IJCDS |
|