قسم الإعلام الآلي

il is Ali

1- Normalize the data,Apply the following formula :

_{Xnew =}(x - X_min ) / (X_max - X_min ).

So, the data will be as follows:

                     Age       Experience      Weight (grams)
Ahmed           0.05            1                   0.96
Ali                   0             0.75                   0
Tarek               1               0                     1

2-  calculate the Euclidean distance between employees:

D(Ahmed , Ali)= √ ((0.05 − 0 )2 + (1 − 0.75 )2+(0.96 − 0 )2 )= 0.99
D(Ahmed , Tarek)=√ ((0.05 − 1 )2 + (1 − 0 )2+(0.96 − 1 )2) = 1.37

So,the most suited employee to replace Ahmed is ALI.

• Normalize the data :

                Age   Experience    Weight (grams)
Ahmed      0.05           1                     0.96
Ali                 0          0.75                    0
Tarek             1          0                        1

• Calculate the Euclidean distance between:

         - (Ahmed,Ali)=> D(Ahmed,Ali)=√((0.05 - 0)^² + (1 - 0.75)^² + (0.96 - 0)^²)=0.99

           &

         - (Ahmed,Tarek)=>D(Ahmed,Tarek)=√((0.05 - 1)^² + (1 - 0)^² + (0.96 - 1)^²)=1.37

=> Therefore, the most suited employee to replace Ahmed is : ALI .

*normalize the data:

_{X =}(x - X_min ) / (X_max - X_min )

exp:(34-33)/(50-33)=1/17=0.05

                age       expiri      weight(g)

ahmed      0.05         1           0.96

ali                0          0.75         0

tarek            1          0              1

*Calculate the Euclidean distance between employes:

 D(Ahmed,Ali)=√((0.05 - 0)^² + (1 - 0.75)^² + (0.96 - 0)^²)=0.99

 D(Ahmed,Tarek)=1.37

//The most suited employee to replace Ahmed is: ali

calculate the eclidean distance between(ahmed,ali)=0.99 and(ahmed,tarek)=1.37

the most suited employee to replace ahmed is: Ali

 Age          Experience         Weight(Grams)

Ahmed       0.05              1                         0.96

Ali                0               0.75                        0

Tarek            1                  0                          1

distance between ahmed and ali :

"normalized_value = (current_value - min_value) / (max_value - max_value)"

distance eucludienne :0.995

distance between ahmed and tarek : 1.372

 Age          Experience         Weight(Grams)

Ahmed       0.05              1                         0.96

Ali                0               0.75                        0

Tarek            1                  0                          1

distance between ahmed and ali :

"normalized_value = (current_value - min_value) / (max_value - max_value)"

distance eucludienne :0.995

distance between ahmed and tarek : 1.372