Information Technology Reference
In-Depth Information
For example,
T
=
min, all min-preorders are of the form,
1
,
if
˃(
x
) ˃(
y
)
J min =
μ(
x
,
y
) =
Inf
˃
Inf
˃
˃(
y
),
if
˃(
x
)>˃(
y
)
T
(μ)
T
(μ)
=
T
prod ˕
,all prod ˕
-preorders are of the form,
1
,
if
˃(
x
) ˃(
y
)
J prod ˕ =
μ(
x
,
y
) =
Inf
˃
Inf
˃
( ˕( y )
˕ 1
˕( x ) ),
if
˃(
x
)>˃(
y
)
T
(μ)
T
(μ)
T
=
W ˕ ,all W ˕ -preorders are of the form
J W (
μ(
x
,
y
) =
Inf
˃
x
,
y
) =
Inf
˃
min
(
1
,
1
˃(
x
) + ˃(
y
))
T
(μ)
T
(μ)
Remark 5.2.1 As an immediate consequence of all that has been said, for any fam-
ily of fuzzy sets
X , the T-preorder Inf
J T
F ↂ[
0
,
1
]
has the elements in
F
as
˃ F
J T (
J T , ˃ ∈ F
T-states. If
μ(
x
,
y
) =
Inf
x
,
y
)
, it follows
μ
, or, equivalently
˃ F
˃
T
(μ), ˃ ∈ F
,or
F ↂ
T
(μ)
. For example, with X
=[
0
,
1
]
and the two functions
˃ 1 (
x
) =
x ,
˃ 2 (
x
) =
1
x ,itis
J ˃ 1
T
J ˃ 2
T
μ(
x
,
y
) =
min
(
(
x
,
y
),
(
x
,
y
))
a T-preorder. With T
=
W ,
μ(
x
,
y
) =
min
(
min
(
1
,
1
˃ 1 (
x
) + ˃ 1 (
y
)),
min
(
1
,
1
˃ 2 (
x
) + ˃ 2 (
y
)))
=
min
(
1
,
1
x
+
y
,
1
+
x
y
),
is a W-preorder.
5.3 The Characterization of T-Indistinguishabilities
Let us consider, the T-indistinguishabilities
E T (
J T (
J T (
x
,
y
) =
min
(
x
,
y
),
y
,
x
)) =
min
(
J T (˃(
x
), ˃(
y
)),
J T (˃(
y
), ˃(
x
))).
X
×
X , consider T
If
μ
is a fuzzy relation in
[
0
,
1
]
(μ)
. Obviously
E T (
μ(
x
,
y
)
Inf
˃
x
,
y
)
, for all x, y in X
.
T
(μ)
 
Search WWH ::




Custom Search