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Majalah Ilmiah UNIKOM

Vol.8, No. 2


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





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


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