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---
name: normalization
description: Normalize a score matrix using a specified method to make scores comparable across criteria.
execution: subagent
prompt: ./prompt.md
input: score_matrix (object), method (string)
used-by: multi-criteria-scoring
---
# Normalization
Normalize the scoring matrix to make scores with different units and scales comparable across criteria.
## Execution
Subagent receives the raw scoring matrix and normalization method, outputs the normalized matrix.
## Why Subagent
Normalization involves mathematical transformations and direction handling; independent verification of transformation correctness is needed to avoid direction errors causing rank reversals.
## HARD-GATE
All normalized values must be in the [0, 1] range, with max-direction criteria having optimal value of 1, and min-direction criteria having optimal value of 1 (after inversion).
