Majalah Ilmiah UNIKOM

**Vol.10 No. 1**

72

H a l a m a n

Figure 7. Membership Function of Down-Peak Traffic

Figure 10. Membership Function of Area Weight

The membership functions of the

variables for the pre-area fuzzy rules are

given in Figure 6 – Figure 8. Because there

are only two input variables in this case, the

complete rule base can be documented in

matrix form, as shows in Table 1. Each

combination of a column and a row

describes a certain TRAFIC situation. The

conclusion is given by the term at the

intersection of the column and row.

Let AWT be the average waiting time, PC

be the power consumption and LWP be the

long wait probability. We introduce an

adjustment value

which represents the

influence of the second group factors. This

adjustment value will be added to the area-

weight

and give new area-weight

(that is,

). The membership

functions of the variables for the pre-area

fuzzy rules are given in Figure 9 – Figure 12.

Then we can represent fuzzy rules as Table

2.

Table 1. Pre-Area Fuzzy Rule

Figure 9. Membership Function of Average Waiting

Time

Figure 10. Membership Function of Power Consumption

Muhammad Aria

Up Peak Traffic

SM

MD

LR

VL

Down

Peak

Traffic

SM

MD

LR

VS

VS

MD

SM

MD

LR

VS

LR

SM

SM

MD

LR

VL

VS

SM

SM

MD

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Copyright © 2011 Unikom Center

Copyright © 2011 Unikom Center