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Table 12 Performance rankings of the methods according to their SR Rhos, SD and RR Benchmarks

From: Proposal of an innovative MCDA evaluation methodology: knowledge discovery through rank reversal, standard deviation, and relationship with stock return

MCDA Methods

Rho

Rank

SD

Rank

Rank Rev

Rank

Mean

PROMETHEE II

0.7670

1

0.2670

1

0.9904

2

1

FUCA

0.7633

2

0,2670

1

0.9914

1

1

TOPSIS

0.6991

3

0.1650

4

0.8903

3

3

MOORA

0.6309

5

0.1581

5

0.8804

4

4.67

VIKOR

0.6438

4

0.1553

6

0.8349

5

5

ELECTRE III

0.474*

6

0.1811

3

0.7599*

7

5.67

CODAS

0.0855***

8

0.1550

7

0.7636

6

7.67

COPRAS

0.2789

7

0.1429

8

0.2394**

8

8.67

  1. *p < .05
  2. **p < .10
  3. ***p > .10
  4. Remaining coefficients, p < .01