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Table 7 Compromised solutions with respect to improvement desired in various objective at confidence level \(\alpha =0.9\) with different shape parameter

From: Genetic algorithm based hybrid approach to solve fuzzy multi-objective assignment problem using exponential membership function

Case

Obj. function

Bounds

\(\lambda\)

Objective values

Solution variables

\(Z_{1}, Z_{2}, Z_{3}\)

\(x_{ij}\)

Shape parameter: (−5, −1, −2)

Aspiration level: (0.8, 0.85, 0.7)

1

Cost

\(22.2 \le z_{11} \le 40.9\),

0.8578

(33.1, 34, 35.5),

\(x_{11}, x_{13}, x_{36}, x_{44}, x_{55}, x_{62}\)

\(23 \le z_{12} \le 42\),

(42.7, 44, 45.6),

\(24 \le z_{13} \le 43.7\)

(19, 20, 21.2)

2

Time

\(28 \le z_{21} \le 36.9\),

0.7574

(46.7, 48, 49.8),

\(x_{14}, x_{31}, x_{36}, x_{52}, x_{55}, x_{62}\)

\(29 \le z_{22} \le 38\),

(28, 29, 30.4),

\(30.3 \le z_{23} \le 39.5\)

(25, 26, 27.1)

3

Quality

\(11.1 \le z_{31} \le 15\),

0.8681

(40, 41, 42.7),

\(x_{13}, x_{14}, x_{31}, x_{46}, x_{55}, x_{62}\)

\(12 \le z_{32} \le 16\),

(41.9, 43, 44.6),

\(13.2 \le z_{33} \le 17.2\)

(11.1, 12, 13.2)

Aspiration level: (0.9, 0.7, 0.8)

1

Cost

\(22.2 \le z_{11} \le 36.1\),

0.7322

(29.3, 30, 31.3),

\(x_{14}, x_{23}, x_{35}, x_{36}, x_{51}, x_{62}\)

\(23 \le z_{12} \le 37\),

(53.7, 55, 56.8),

\(24 \le z_{13} \le 38.6\)

(20.9, 22, 23.2)

2

Time

\(28 \le z_{21} \le 41.8\),

0.8029

(41.8, 43, 44.7),

\(x_{14}, x_{31}, x_{36}, x_{52}, x_{55}, x_{62}\)

\(29 \le z_{22} \le 43\),

(31.9, 33, 34.5),

\(30.3 \le z_{23} \le 44.7\)

(21, 22, 23.1)

3

Quality

\(11.1 \le z_{31} \le 13\),

0.8681

(40, 41, 42.7),

\(x_{13}, x_{14}, x_{31}, x_{46}, x_{55}, x_{62}\)

\(12 \le z_{32} \le 14\),

(41.9, 43, 44.6),

\(13.2 \le z_{33} \le 15.2\)

(11.1, 12, 13.2)

Aspiration level: (0.7, 0.8, 0.9)

1

Cost

\(22.2 \le z_{11} \le 40\),

0.8009

(33.1, 34, 35.4),

\(x_{13}, x_{21}, x_{44}, x_{46}, x_{55}, x_{62}\)

\(23 \le z_{12} \le 41\),

(47.7, 49, 50.9),

\(24 \le z_{13} \le 42.7\)

(16.9, 18, 19.2)

Shape parameter: (−2, −5, −1)

Aspiration level: (0.8, 0.85, 0.7)

1

Cost

\(22.2 \le z_{11} \le 33.2\),

0.8215

(25.3, 26, 27.2),

\(x_{13}, x_{24}, x_{35}, x_{46}, x_{51}, x_{62}\)

\(23 \le z_{12} \le 34\),

(61.6, 63, 64.9),

\(24 \le z_{13} \le 35.6\)

(18.9, 20, 21.2)

2

Time

\(28 \le z_{21} \le 47.8\),

0.7126

(37, 38, 39.5),

\(x_{14}, x_{21}, x_{36}, x_{53}, x_{55}, x_{62}\)

\(29 \le z_{22} \le 49\),

(39.8, 41, 42.7),

\(30.3 \le z_{23} \le 50.8\)

(22.9, 24, 25.2)

Shape parameter: (−1, −2, −5)

Aspiration level: (0.7, 0.8, 0.85)

1

Quality

\(11.1 \le z_{31} \le 19,\)

0.7972

(33.2, 34, 35.6),

\(x_{13}, x_{14}, x_{46}, x_{51}, x_{46}, x_{62}\)

\(12 \le z_{32} \le 20\),

(47.8, 49, 50.8),

\(13.2 \le z_{33} \le 21.2\)

(13, 14, 15.2)

Aspiration level: (0.8, 0.7, 0.75)

2

Quality

\(11.1 \le z_{31} \le 21\),

0.8191

(32.1, 33, 34.5),

\(x_{11}, x_{13}, x_{24}, x_{46}, x_{55}, x_{62}\)

\(12 \le z_{32} \le 22\),

(46.7, 48, 49.7),

\(13.2 \le z_{33} \le 23.2\)

(15, 16, 17.2)