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Page 2 of 14Majalah Ilmiah UNIKOM
Vol.8, No. 2
204
H a l a m a n
Performance of interval type 2 TSK fuzzy
then comparing between type 1 TSK Fuzzy
and conventional fixed-time controller.
Although there are a lot of work on type 2
Fuzzy as discussed in [8] - [10], as far as the
author concerns, there is no work on
development of T2 TSK Fuzzy is suitable for
complex
intersection
traffic
control.
Contribution of this paper is to propose
T2TSK algorithm suitable for complex
intersection traffic control and compare the
performance between the interval type 2
TSK Fuzzy and type 1 TSK Fuzzy.
The paper is arranged as follows. Interval
type 2 TSK Fuzzy structure is provided in
Section II. Fuzzy Logic Traffic Signal Control-
lers for Complex Intersections is presented
in Section III. Design of traffic simulator are
developed in Section IV. The simulation re-
sults are provided in Section V. In Section VI,
we conclude with conclusion.
Muhammad Aria
T2TSK STRUCTURE
Type-2 fuzzy sets were originally pre-
sented by Zadeh in 1975. The new concepts
were introduced by Mendel and Liang allow-
ing the characterization of a type-2 fuzzy set
with a superior membership function and an
inferior membership function; these two
functions can be represented each one by a
type-1 fuzzy set membership function. The
interval between these two functions repre-
sent the footprint of uncertainty (FOU),
which is used to characterize a type-2 fuzzy
set. Type-2 fuzzy sets allow us to handle
linguistic uncertainties, as typified by the
adage “words can mean different things to
different people”.
For type-2 TSK models, there are three
possible structure [11]:
1. Antecedents are type-2 fuzzy sets, and
consequents are type-1 fuzzy sets. This
Figure 1. Interval type 2 TSK Fuzzy System Structure