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Dr.Rogelio Soto
Coahuila, Mexico

When:  Wednesday June 11
Where: Room DC 1302
Time:   2:30pm

Sponsored by the IEEE Control Systems Chapter, the IEEE neural networks Chapter and the SDE PAMI Lab

In this presentation  type-2 fuzzy logic system (FLS) is introduced, which can handle rule uncertainties. The implementation of this
type-2 FLS involves the operations of fuzzification, inference, and output processing. The "output processing" consists of type reduction
and defuzzification. Type-reduction methods are extended versions of type-1 defuzzification methods. Type reduction captures more
information about rule uncertainties than does the defuzzified value (a crisp number), however, it is computationally intensive, except for
interval type-2 fuzzy sets.
Interval type-2 FLS is applied to forecast the behavior of the chaotic Mackey-Glass time series and a Hot Strip Mill (HSM) temperature

About the speaker:
Rogelio Soto (M'89) was born in Torreon, Coahuila, Mexico, On april 25, 1954. He received the B.Sc. degree in electronics engineering
from the Instituto Teconologico de la Laguna, Torreon, Coahuila, and the M.S. degree in Electrical Engineering from the Instituto
Tecnologico y de Estudios Superiores de Monterrey, Mexico, in 1980. In 1990, he received the Ph.D. degree in Electrical Engineering
from the University of Texas, Arlington. From 1981 to 1984 he was an Associate Professor in the Electrical Engineering Department at
The Instituto Tecnologico de la Laguna. He joined The Instituto Tecnologico y de Estudios Superiores de Monterrey, in 1990, where he is
currently the Director of The Center of Intelligent Systems. His current research interest includes design and development of nonlinear,
fuzzy and intelligent control systems. Dr. Soto is a member of the Sigma Xi Research Society and IEEE. He has been a program
co-chair of the Annual International Symposium on Artificial Intelligence organized by ITESM in 1993 and 1994.

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