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Table 4.7 Weight coefficients of models on the basis of similarity relation ˆ
Confidence
level
Weight coefficients
0834
ω
=
1
/
5
m
,
i
=
1
1
ω
=
ω
=
ω
=
ω
=
7
/
30
,
ω
=
1
/
5
0.884
1
3
4
5
2
ω
=
ω
=
ω
=
4
/
15
,
ω
=
2
/
15
,
ω
=
1
/
15
0.923
1
3
4
5
2
ω
=
ω
=
3
/
10
,
ω
=
1
/
5
ω
=
2
/
15
,
ω
=
1
/
15
0.938
3
4
1
5
2
ω
=
4
/
15
,
ω
=
1
/
3
ω
=
1
/
5
ω
=
2
/
15
,
ω
=
1
/
15
1
3
4
1
5
2
Within the limits of these results weight coefficients (see §4.3) are obtained:
3
ω
=
ω
=
ω
=
1
/
5
.
Using results described in §4.1, it is possible to construct the generalized model
of expert evaluations of software completeness in the following form:
ω
=
1
/
ω
=
1
/
15
,
,
1
3
5
2
4
{
}
5
()
=
()
X
=
f
x
,
l
=
1
4
=
ω
μ
x
,
l
=
1
4
;
l
i
il
i
1
5
5
5
5
() (
)
()
l
l
l
L
l
R
il
il
il
L
il
R
f
x
a
,
a
,
a
,
a
=
ω
a
x
,
ω
a
,
ω
a
,
ω
a
,
l
=
1
4
.
l
1
2
i
1
i
2
i
i
Taking into account the weight coefficients defined within the limits of similarity
relation, it is possible to obtain following membership functions of generalized
model
i
=
1
i
=
1
i
=
1
i
=
1
1
X :
() (
() (
)
)
1
1
f
1
2
x
0
198
;
0
318
;
0
132
;
0
328
;
f
x
0
0
066
;
0
0
132
;
() (
)
() (
)
1
3
f
x
0
646
;
0
788
;
0
328
;
0
141
;
1
4
f
x
0
929
;
1
0
141
;
0
.
While using the weight coefficients constructed within the limits of computed
fuzziness degrees of expert models, the following membership functions of
generalized model
X are obtained:
2
() (
)
() (
)
2
f
x
0
0
065
;
0
0
130
;
f
2
x
0
195
;
0
312
;
0
130
;
0
314
;
1
2
() (
)
() (
)
f
2
x
0
626
;
0
804
;
0
314
;
0
130
;
2
4
f
x
0
934
;
1
0
130
;
0
.
3
Constructed generalized models X and X are Pareto optimal and optimal as per
the method of the least weighed quadrates of differences between parameters of
these models and parameters of expert models.
Using results of §4.4, it is possible to construct generalized model X of expert
evaluations of software completeness, which keeps a maxima of the information
obtained from all experts:
 
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