Table 7 The parameters of membership functions of inner linguistic terms with respect to four attributes.

From: A multi-dimensional decision framework based on the XGBoost algorithm and the constrained parametric approach

Attribute

\(C_{1}\)

\(C_{2}\)

\(C_{3}\)

\(C_{4}\)

Parameter

a

b

c

a

b

c

a

b

c

a

b

c

Low

[0,0]

[0,0]

[2.874,

4.005]

[0,0]

[0,0]

[5.051,

6.461]

[0,0]

[0,0]

[3.948,

5.364]

[0,0]

[0,0]

[2.061,

2.873]

Medium

[1.005,

1.411]

[4.005,

4.411]

[6.005,

6.411]

[1.992,

3.117]

[5.992,

7.117]

[9.992,

11.117]

[1.596,

2.411]

[5.596,

6.411]

[8.596,

9.411]

[1.034,

1.467]

[3.034,

3.467]

[4.758,

4.866]

High

[4.218,

4.717]

[7,7]

[7,7]

[7.029,

8.129]

[12,12]

[12,12]

[5.21,

7.018]

[10,

10]

[10,

10]

[3.04,

3.539]

[5,5]

[5,5]

  1. Sources: Authors’ own research.
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