Information Technology Reference
In-Depth Information
Selection of graduates was carried out within the limits of four formulated fuzzy
preferences:
X
— progress indexes are very important, indexes of cognitive psychophysi-
ological characteristics are very important and indexes of personal qualities are
absolutely unimportant;
X
— Progress indexes are not so important, indexes of cognitive psycho-
physiological characteristics are important enough, and indexes of personal quali-
ties are very important;
X
— Progress indexes are rather unimportant, indexes of cognitive psycho-
physiological characteristics are important, and indexes of personal qualities are
rather unimportant;
X
— progress indexes are absolutely unimportant, indexes of cognitive psy-
chophysiological characteristics are important enough, and indexes of personal
qualities are important,
The memberships functions
()
μ
x
=
l
constructed in (49) for correspond-
ing linguistic terms "absolutely unimportant", "rather unimportant", "not so impor-
tant", "important enough", "important", "very important" of relative importance
coefficients for criteria:
1
6
,
l
() (
)
() (
)
μ
x
≡
0
0
0
2
;
μ
x
≡
0
2
0
2
0
2
;
1
2
() (
)
() (
)
μ
x
≡
0
4
0
2
0
2
;
μ
x
≡
0
0
2
0
2
;
3
4
() (
)
() (
)
μ
x
≡
0
0
2
0
2
;
μ
x
≡
1
0
0
.
5
6
were used.
Membership functions of fuzzy rating progress evaluations, psychophysiologi-
cal characteristics and personal qualitie
s o
f five graduates are denoted, accord-
ingly, with
()
()
()
2
3
1
η
x
η
x
η
x
,
,
,
j
=
1
. Using the method of ranking [184],
j
j
j
()
μ
x
membership functions
,
j
=
1
,
i
=
1
4
of fuzzy evaluations of
I
J
R
i
R
,
five graduates
=
i
within the limits of four formulated fuzzy
preferences were described as follows:
j
=
1
,
1
4
()
()
()
()
()
()
()
1
2
3
μ
x
=
μ
x
⊗
η
x
⊕
μ
x
⊗
η
x
⊕
μ
x
⊗
η
x
;
1
6
j
6
j
1
j
R
j
()
()
()
()
()
()
()
1
2
3
μ
x
=
μ
x
⊗
η
x
⊕
μ
x
⊗
η
x
⊕
μ
x
⊗
η
x
;
2
3
j
4
j
6
j
R
j
()
()
()
()
()
()
()
1
2
3
μ
x
=
μ
x
⊗
η
x
⊕
μ
x
⊗
η
x
⊕
μ
x
⊗
η
x
;
3
2
j
5
j
2
j
R
j
()
()
()
()
()
()
()
1
2
3
μ
x
=
μ
x
⊗
η
x
⊕
μ
x
⊗
η
x
⊕
μ
x
⊗
η
x
,
j
=
1
4
1
j
4
j
5
j
R
j
~
Results of researches for five graduates were carried out on the basis of
i
j
,
j
=
1
,
i
=
1
4
. Fuzzy sets
I
,
i
i
=
1
4
specified on set of indexes {1, 2, 3, 4, 5}
