MCDMNormalizationcrisp

Linear Max Normalization — division by column maximum (benefit) or column minimum over value (cost)

LINEAR-MAX-NORMALIZATION (Linear Max Normalization — division by column maximum (benefit) or column minimum over value (cost)) is a normalization multi-criteria decision-making (MCDM) method introduced by Fishburn, P. C. in 1967. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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Sources

  1. Fishburn, P. C. (1967). Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments. Operations Research DOI: 10.1287/opre.15.3.537

Related methods

ScholarGateLINEAR-MAX-NORMALIZATION (Linear Max Normalization — division by column maximum (benefit) or column minimum over value (cost)). Retrieved 2026-06-04 from https://scholargate.app/tr/decision-making/linear-max-normalization