MCDMNormalizationcrisp

Linear Sum Normalization — column-sum division (probability / stochastic normalisation)

LINEAR-SUM-NORMALIZATION (Linear Sum Normalization — column-sum division (probability / stochastic normalisation)) is a normalization multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z., Peldschus, F., Kaklauskas, A. in 1994. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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Sources

  1. Zavadskas, E. K., Turskis, Z., Peldschus, F., Kaklauskas, A. (1994). Competitive comparison of contractors' offers in construction. Technika, Vilnius link

Related methods

ScholarGateLINEAR-SUM-NORMALIZATION (Linear Sum Normalization — column-sum division (probability / stochastic normalisation)). Retrieved 2026-06-04 from https://scholargate.app/en/decision-making/linear-sum-normalization