Sum of Euclidean distance differences and sum of absolute Manhattan distance differences: multicriteria decision making tools for small data tables.

BACKGROUND: Despite its advantages, rank transformation leads inevitably to information loss. This work presents an extension for sum of ranking differences (SRD) algorithm to non-ranking environment. It is expedient to elaborate a new algorithm, whi…

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