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