Image Processing Reference
In-Depth Information
The following operations on IFRs are as follows:
1. If
R
is an IFR on
X
×
Y
, then
R
−1
is an IFR on
Y
×
X
:
μ
(,)
yx
=
μ
( ,)
xy
and
ν
(,)
yx
= ∀∈×
ν
( ,) (
xy
,
yx YX
,
)
−
1
R
−
1
R
R
R
This is also called inverse relation on
R
.
2. Union
μ
∨
=
max( (,), (,))
μ
xy
μ
xy
RQ
R
Q
ν
∨
=
min( (,), (,))
ν
xy
ν
xy
RQ
R
Q
3. Intersection
μ
∧
=
min( (,), (,))
μ
xy
μ
xy
RQ
R
Q
ν
∧
=
max( (,), (,))
ν
xy
ν
xy
RQ
R
Q
4. For three elements,
R
,
P
, and
Q
, on relation IFR ∈ (
X
×
Y
)
−
1
−
1
−
1
(
RP RP
∨=∨
)
−
1
−
1
−
1
(
RP RP
∧=∧
)
RPQRPRQ
∨∧ = ∨∧∨
(
)
(
)
(
)
1.7 Composition of Intuitionistic Fuzzy
Relation (Supremum-Infimum)
An IFR
R
from
X
to
Y
is an IFS of
X
×
Y
characterised by a membership func-
tion μ
R
and a non-membership function
ν
R
.
An IFR
R
from
X
to
Y
will be
denoted by
R
(
X
→
Y
).
Let
P
(
X
→
Y
) and
R
(
Y
→
Z
) be two IFRs. The supremum-infimum compo-
sition
R
⚬
P
is an IFR of
X
to
Z
. It is defined in terms of the membership and
non-membership degrees as
μ
(,)
xz
=∨
{ (,)
μ
xy
∧
μ
( ,)}
yz
RP
P
R
y
(1.11)
(,)
xz
{ (,)
xy
( ,)}
yz
ν
=∧
ν
∨
ν
RP
P
R
y
respectively, where ∧ denotes infimum and ∨ denotes supremum.
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