Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by Muhammad Summair Raza & Usman Qamar

Author:Muhammad Summair Raza & Usman Qamar
Language: eng
Format: epub
ISBN: 9789813291669
Publisher: Springer Singapore

U

a′

b′

c′

d′

D

A

M

L

3

M

1

B

M

L

1

H

1

D

L

R

3

M

2

E

M

R

2

M

2

F

L

R

3

L

3

G

H

R

3

L

3

0.16667

0.3333

0.3333

0.5

Now we define different classes through which the dependency can be calculated, after adding a new record.

4.3.1.1 Existing Boundary Region Class

For an attribute a′, if same value of attribute leads to different decision classes, for example, in Table 4.8, a′(L) -> 2,3 (i.e. the value ‘L’ leads to decision class ‘2’ and ‘3’) then adding a new record with same value of a′ decreases the dependency of decision on that attribute. Adding a row in this case will simply decrease the dependency.

For example, in Table 4.8,

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