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Fig 1.

The methodology of proposed two-stage framework for enhancing cryptocurrency portfolio performance.

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Table 1.

Summary of employed MADM methods and corresponding references.

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Table 2.

Summary of descriptive statistics for selected cryptocurrency assets.

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Table 3.

Comprehensive criteria for evaluating cryptocurrency performance.

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Fig 2.

Schematic representation of the AHP model for weighting evaluating cryptocurrency criteria.

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Table 4.

Weights assigned to each criterion based on AHP method.

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Fig 3.

Visual representation of a triangular fuzzy number.

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Fig 4.

Visual representation of a trapezoid fuzzy number.

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Fig 5.

Credibility measures for a triangular fuzzy variable.

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Fig 6.

Credibility measures for a trapezoidal fuzzy variable.

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Table 5.

Decision matrix for cryptocurrency asset preselection.

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Table 6.

Cryptocurrency rankings according to different methods.

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Fig 7.

Spearman correlation coefficients among 13 selected MADM methods.

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Table 7.

Combined results of 13 methods using the mean rank approach.

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Table 8.

Pairwise comparison matrix of 47 cryptocurrency assets.

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Table 9.

Combined results of 13 methods using the Borda count and Copeland approaches.

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Table 10.

Categorization of cryptocurrency assets based on Copeland method results.

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Table 11.

Trapezoidal fuzzy representation of cryptocurrency returns expectations.

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Table 12.

Asset weight allocations for top 10 assets under different cardinality constraints.

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Table 13.

Asset weight allocations for larger asset groups: top 20, 30, 40, and 47.

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