Majalah Ilmiah UNIKOM
Vol.9, No. 1
48
H a l a m a n
Fig. 9. Print Out of Documentation
SIMULATION RESULTS WITH THE INTER-
We present a level water simulation
with interval type-2 fuzzy logic systems
using Interval Type-2 Fuzzy Logic Systems
Toolbox. The application of the interval
type-2 fuzzy control scheme to the level
water gives good control results, which can
be appreciated in Figure 10.
Fig. 11. Water Level Control Example
CONCLUSION
The design and implementation
done in the Interval Type 2 Fuzzy Logic
Systems Toolbox is potentially important
for research in the interval type-2 fuzzy
logic area, thus solving complex problem
on the different applied areas.
Our future work is to design interval
type-2 fuzzy neural network hybrid models.
REFERENCES
Oscar Castillo, Patricia Melin and Juan R.
Computational Intelli-
gence Software for Interval Type-2
Fuzzy Logic
Workshop on Building Computational
Intelligence and Machine Learning Vir-
tual Organizations, pp. 9 - 13
Toolbox for Inter-
val Type-2 Fuzzy Logic Sistems
ceedings of the 11
th
Joint Conference
on Information Sciences
Juan R.Castro, Oscar Castillo, Luis G. Mar-
Interval Type-2 Fuzzy
Logic Toolbox
15, no 1
Type – 2 FLCs : A
New Generation of Fuzzy Controllers
IEEE Computational Intelligence Maga-
zine, vol 2, no.1, pp. 30 – 43
Type-2 Fuzzy Sets
and Sistems : An Overview
putational Intelligence Magazine, vol 2,
no.1, pp. 20-29
In-
terval Type-1 Non-Singleton Type-2 TSK
Fuzzy Logic Sistems Using the Hybrid
Training Method RLS-BP
sium on Foundations of Computational
Intelligence
Jerry M. Mendel, Robert I. John and
Interval Type-2
Fuzzy Logic Sistems Made Simple
Transactions on Fuzzy Sistems, vol 14,
no 6, pp 808 – 821.
Type
-2 Fuzzistics for Symmetric Interval
Type-2 Fuzzy Sets: Part 1, Forward
Problems
Sistems, vol 14, no 6, pp 781 – 792.
Muhammad Aria