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Table 1.

Description of used acronyms.

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Table 1 Expand

Table 2.

The CI values for the comparisons using BWM.

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Table 2 Expand

Fig 1.

Proposed hybrid MCDM methodology.

BWM: Best-worst method. EDAS: Evaluation based on distance from average solution.

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Fig 1 Expand

Table 3.

Best to others and others to worst criteria comparisons.

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Table 3 Expand

Table 4.

Evaluation of alternatives with respect to criteria [20].

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Table 4 Expand

Table 5.

Values of SP, NSP, SN, NSN, AS and ranking for the EDAS method.

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Table 5 Expand

Table 6.

Comparison of TOPSIS, VIKOR and DBA methods with proposed method.

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Table 6 Expand

Fig 2.

Comparison of normalized score of EDAS and TOPSIS methods.

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Fig 2 Expand

Fig 3.

Comparison of normalized score of DBA and VIKOR methods.

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Fig 3 Expand

Table 7.

Different scenarios for criteria weights.

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Table 7 Expand

Fig 4.

Sensitivity analysis of the criteria C1.

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Fig 4 Expand

Fig 5.

Sensitivity analysis of the criteria C2.

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Fig 5 Expand

Fig 6.

Sensitivity analysis of the criteria C3.

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Fig 6 Expand

Fig 7.

Sensitivity analysis of the criteria C4.

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Fig 7 Expand

Table 8.

Ranking of robots with respect to different scenarios defined in Table 7.

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Table 8 Expand

Fig 8.

Sensitivity analysis diagram of the EDAS results.

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Fig 8 Expand

Fig 9.

Sensitivity analysis of robots ranking.

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