Civil Engineering Reference
In-Depth Information
2 ab
bc
1
A
A
Γ
(
)=[
+
(
) ,
]
(
,
)=(
+
,
l f )
If
4 ,thenT
x
yf
a
x
,where
x
y
l
u
.
A
A
Theorem 3. Let T
(
)
F
(
R
)
and let
Δ (
)
be its general f-triangular approxi-
1 Γ
A
A
mation. Then,
Δ (
)
can be computed in the following cases: If
Γ
2 ,then
A
T
(
)=[
t 1
+
t 2 f
(
a
) ,
t 1
+
t 3 f
(
a
)]
2 ab
bc
1
A
A
If
Γ
3 ,thenT
(
)=[
x
,
x
+
yf
(
a
)]
,where
(
x
,
y
)=(
l
+
u
,
u f )
.
2 ab
bc
1
A
A
If
Γ 4 ,thenT
(
)=[
x
+
yf
(
a
) ,
x
]
,where
(
x
,
y
)=(
l
+
u
,
l f )
.
4
Algorithm and Examples
In the previous section, we have presented formulas for computing the general f-
trapezoidal approximation T
A
A
)
of any fuzzy number A . In the process of applying Theorems 2 and 3 , we need to
determine which one subset
(
)
and the general f-triangular approximation
Δ (
4, the given fuzzy number A belongs to.
In the following algorithm, we straightforwardly compute T
Γ (
i
) ,
1
i
A
(
)
. It is really more
efficient.
4.1
Algorithm 4
A
A
Let
=[
A L ( α ) ,
A U ( α )]
be a fuzzy number and T
(
)
be general f-trapezoidal
approximation of A .
Step 1.
Compute the following objectives: a,b,c and l
,
l f ,
u
,
u f .
φ 1 ,and
u f ) φ 1 .If s 1
Step 2.
Compute
φ
,
(
s 1 ,
s 2 ,
s 3 ,
s 4 )=(
l
,
l f ,
u
,
s 3 ,then
A
T
(
)=[
s 1 +
s 2 f
(
a
) ,
s 3 +
s 4 f
(
a
)]
.
ψ 1 ,and
u f ) ψ 1 .
Step 3.
Otherwise, compute
ψ
,
(
t 1 ,
t 2 ,
t 3 )=(
l
+
u
,
l f ,
A
Step 4.
If t 2
0and t 3
0, then T
(
)=[
t 1 +
t 2 f
(
a
) ,
t 1 +
t 3 f
(
a
)]
.
2 ab
bc
1
A
Step 5.
If t 2 >
0, then T
(
)=[
x
,
x
+
yf
(
a
)]
,where
(
x
,
y
)=(
l
+
u
,
u f )
.
2 ab
bc
1
A
Step 6.
If t 3 <
0, then T
(
)=[
x
+
yf
(
a
) ,
x
]
,where
(
x
,
y
)=(
l
+
u
,
l f )
.
Note that, to obtain an algorithm for computing the general f-triangular approxima-
tion
A
A , it only drops Step 2 from the above Algorithm 4.
Δ (
)
of
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