Information Technology Reference
In-Depth Information
= (
,
)
Now, for the graph G
V
H
we can construct the Extended Intuitionistic
Fuzzy Graph (EIFG) G = (
V ,
H )
. It has the following IM-representation:
V ,
V , { μ(v i ,v j ), ν(v i ,v j ) }]
[
v 1 , α(v 1 ), β(v 1 ) ... v n , α(v n ), β(v n )
v 1 , α(v 1 ), β(v 1 )
μ v 1 ,v 1 v 1 ,v 1
...
μ v 1 ,v n v 1 ,v n
.
. .
.
...
=
,
v i , α(v i ), β(v i )
μ v i ,v 1 v i ,v 1
...
μ v i ,v n v i ,v n
.
. .
.
...
v n , α(v n ), β(v n )
μ v n ,v 1 v n ,v 1
...
μ v n ,v n v n ,v n
where for every 1
i
n
,
1
j
n :
μ v i ,v j v i ,v j
∈[
0
,
1
] v i ,v j + ν v i ,v j
∈[
0
,
1
] ,
α(v i ), β(v i ) ∈[
] .
Let us discuss here for simplicity only the case of oriented graph. Let us denote
by x
0
,
1
] ,α(v i ) + β(v i ) ∈[
0
,
1
y the fact that both vertices x and y are connected by an arc and x is higher
than y . Let operation
, ×} .
We call that the EIFG G is “well-top-down-(very strong, strong, middle, weak,
veryweak)-ordered”, or shortly, “well-top-down-
◦∈{+ ,
max
,
@
,
min
-ordered”, if for every two vertices
v i and
v j , such that
v i
v j , the following inequality holds:
α i i μ v i ,v j v i ,v j α j j .
Analogously, we call that the EIFG G is “well-bottom-up-(very strong, strong,
middle, weak, very weak)-ordered”, or shortly, “well-bottom-up-
-ordered”, if for
every two vertices
v i and
v i v j , the following inequality holds:
α i i μ v i ,v j v i ,v j α j j .
v j , such that
We illustrate the way for IM-interpretation of the EIFGs by the following example.
Let us have the EIFG G with the form
 
Search WWH ::




Custom Search