Image Processing Reference
In-Depth Information
The hesitation degree also lies in an interval which is given as
+
=− −
+
+
ππ μ
(), ()
x
x
1
( )
x
ν
( ),
x
1
μ
() ()
x
ν
x
A
A
A
A
A
A
If μ
() (), then IVIFS becomes IFS.
For two interval-valued fuzzy sets,
() () and ν
x
=
μ
+
x
x
=
ν
+
x
A
A
A
A
{
}
IVIFS
+
+
A
=
x
,
μμ ν
( ), (),
x
x
( ), ()
x
ν
x xX
A
A
A
A
and
{
}
IVIFS
+
+
B
=
x
,
μμ νν
( ), (),
x
x
( ), ()
x
x xX
B
B
B
B
the following relation holds:
1. AB x
,
iff μ
( )
μ
( ), () (), ()
x
μ
+
x
μ
+
x
ν
x
ν
( ), ()
x
ν
+
x
ν +
()†
x
A
B
A
B
A
B
A
B
for
xX
2. A = B , iff A B and B A
3. Ax
c
IVIFS =
{,[(),
ν
x
ν μμ
+
( )],[(), ()]|
x
x
+
x xX
}
A
A
A
A
4. AB
∩=
[min((),
μμ μμ
x
( )),min( (), ())],
x
+
x
+
x
A
B
A
B
[max((),
ν
x
ν
( )),max( (), ())]
x
ν
+
x
ν
+
x
A
B
A
B
5. AB
∪=
[max((),
μμ μμ
x
( )),max( (), ())],
x
+
x
+
x
A
B
A
B
ν
+ +
( )),min( (), ())]
[min((),
ν
x
x
ν
x
ν
x
A
B
A
B
6. AB x
+= +
[( () () () ( )),(()
μ
μ μμμ
x
x
x
+
x
+
μ μ B
+
( )
x
+
( )
x
+
( ))]
x
A
B
A
B
A
B
A
+
+
[()
ν
x
ν
( ), () ()]
x
ν
x
ν
x
A
B
A
B
λ
λ
+
λ
λ
+
λ
7. A
=
[
μ
( ), (),
x
μ
x
11
− −
(
ν
()), (
x
11
− −
ν
( )) ]
x
A
A
A
A
8. AB
⋅= ⋅
[()
μμμμ
x
( ), () ( )],
x
+
x
+
x
A
B
A
B
ν
+
+
+
+
[()
ν
x
+
ν
( )
x
ν
( )
x
(), ()
x
ν
x
+
ν
( )
x
ν
( )
x
ν
( )]
x
A
B
A
B
A
B
A
B
Correlation coefficient using interval valued intuitionistic fuzzy sets (IVIFS)
is studied by authors [6,13]. For two IVIFS A and B , if
1
2 μμμμν
+
+
+
+
CAB
(,)
=
( )
x
( )
x
+
( )
x
( )
x
+
( )
x
ν
( )
x
+
ν
( )
x
ν B x
() , then
A
B
A
B
A
B
A
CAB
CAACBB
(,)
(,)( )
Corr(,)
AB
=
 
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