C++ Neural Networks and Fuzzy Logic: Preface


  The maximum value for the function is 1



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C neural networks and fuzzy logic

4.  The maximum value for the function is 1, at x = 0. It has a sort of a bell−shaped curve.

If A is a fuzzy number with the ordered pair (a, b) with b > 0, and if the reference function is L, you do the

following:

You write the fuzzy number as A = (a, b)



L

. You get the membership of any element x, by taking the quantity

(x − a) / b (which reminds you of how you get a z−score), and evaluate the reference function L at this

argument. That is:

     m

A

(x) = L( (x−a) / b)



Examples of a reference function L are:

Example 1:



L(x) = max ( 0, 1− x

2

)



You obtain the following shown in Table 16.8.

Table 16.8 Reference Function L

xL(x)

−20


−10

−0.50.75


01

0.50.75


10

20

C++ Neural Networks and Fuzzy Logic:Preface



Fuzzy Numbers

397



This function is not strictly decreasing though. It remains a constant at 0 for x > 1.

Example 2:



L(x) = 1/ (1 + x

2

 )



You get the values shown in Table 16.9.


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