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Then, the procedure of the weight coefficients computation described in p. 5a is
carried out. Weight coefficients of elements from clusters of potency
v
remain
unchanged
2
k
−
v
+
1
2
k
−
3
v
+
1
ω
=
,
i
=
1
v
;
ω
=
,
i
=
v
,
2
v
;
(
)
(
)
i
i
k
k
+
1
k
k
+
1
(4.19)
6.
With the confidence level equal to '1',
k
clu
sters occur whose elements are
ranged according to values
ρ
ρ
j
=
1
k
,or
,
j
j
k
⎛
k
⎞
(
)
(
)
∑
∑
ρ
=
μ
X
,
X
ρ
=
μ
M
,
M
;
⎜
⎝
⎟
⎠
j
R
i
j
j
R
i
j
1
1
i
=
1
i
=
1
k
⎛
k
⎞
(
)
(
)
∑
∑
ρ
=
μ
X
,
X
⎜
⎝
ρ
=
μ
M
,
M
⎟
⎠
.
j
R
i
j
j
R
i
j
2
2
i
=
1
i
=
1
(
)
j
=
1
k
ρ
Let us range values
,
ρ
,
j
=
1
k
in decreasing order. We obtain a
j
j
conditional ordered series
X
>
X
>
...
>
X
>
...
>
X
()
( )
()
( )
1
2
i
k
or
M
>
M
>
...
>
M
>
...
>
M
.
()
( )
()
( )
1
2
i
k
k
Weight coefficients of sets
and
Θ
elements are computed by the formula
Ξ
k
(4.7).
If any
(
)
ρ
ρ
X
=
...
=
X
are equal, then we obtain a conditional equality
.
()
()
j
j
1
l
In this case
(
)
1
l
2
k
−
j
+
1
∑
=
ω
=
,
j
=
1
l
.
()
(
)
j
l
k
k
+
1
(4.20)
i
1
4
.3 Determinatio n of Weig ht Coefficients for Models of Characteris
tic
4.3 Determination of Weight Coefficients for Models of
Characteristic Expert Evaluations Based on the Fuzziness
Degrees
4.3 Determinatio n of Weig ht Coefficients for Models of Characteris
tic
The selection of a principle for determination of weight coefficients depends on
particular situation, requirements etc. For example, determination of weight
coefficients for models of expert qualitative characteristic evaluations or expert
description, in linguistic terms, of physical values of quantitative characteristic
(elements of set
k
) can be carried out on the basis of degrees of the models
fuzziness (COSS). Fuzziness degree of an evaluation model or characteristic
description, as known [28], is a quantity index of average degree of difficulties an
Ξ
