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The lower generalized decision function is a singleton or the empty set,
| ʻ A (
u
) |≤
1
.
(7.15)
Unlike RSM, we may have the case that the upper generalized decision of u is
a singleton, i.e.,
˅ A (
u
) ={
i
}
but u does not belong to the lower approximation
LA A (
. When the lower generalized decision is a singleton, the upper generalized
decision is also a singleton, and they are the same,
X i )
| ʻ A (
˅ A (
) = ʻ A (
u
) |=
1
u
u
).
(7.16)
Property ( 7.12 ) can be expressed as:
1
p ˅ A (
u
) =∅ .
(7.17)
˅ A (
is less than p .
)
ʲ
Hence,
u
may be empty unless
\ ʻ) A (
We define a function
u
)
as:
\ ʻ) A (
) = ˅ A (
) \ ʻ A (
u
u
u
).
By properties ( 7.13 ), ( 7.15 ), and ( 7.16 ), we have
\ ʻ) A (
) =∅⃒ ˅ A (
ʻ A (
u
u
) =∅
or
u
) =∅ ,
(7.18)
\ ʻ) A (
) =∅⃒ \ ʻ) A (
) = ˅ A (
u
u
u
).
(7.19)
By that property, the following equivalence holds:
\ ʻ) A (
BN A (
i
u
)
u
X i ).
(7.20)
Therefore, we call
\ ʻ)
a boundary generalized decision function.
Example 8 Remember the decision table
D = (
U
,
C
∪{
d
} , {
V a } )
in Table 7.3 .Let
ʲ =
0
.
39. The lower and upper generalized decision function with respect to C and
ʲ
are,
ʻ C (
} C (
} C (
P 3 ) =∅ C (
C (
P 1 ) ={
g
P 2 ) ={
m
P 4 ) =∅ ,
P 5 ) =∅ ,
˅ C (
} C (
} C (
} C (
} C (
P 1 ) ={
P 2 ) ={
P 3 ) ={
P 4 ) ={
P 5 ) =∅ ,
g
m
g
m,g
ʻ C (
˅ C (
where
P i )
and
P i )
indicate the lower and upper generalized decisions of an
object in the group P i .
 
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