Decision Science (MCDA)

COPRAS

Ranks alternatives using proportional assessment of benefit and cost criteria

Rubric Type

distance-based

Complexity

medium

Extractor

technical

Required Inputs

SolveRight's AI extractor automatically derives these data points from your decision description:

  • ✓criteria classification
  • ✓weights
  • ✓performance matrix

Best For

EngineersConsultants

How COPRAS Works in SolveRight

When you run a decision through SolveRight, COPRAS is one of up to 155 frameworks that analyze your options simultaneously. The AI extractor identifies 3 key data points from your decision description, then the distance-based rubric computes a normalized 0-100 score for each option. This score is combined with results from other frameworks to produce your overall ranking, with contradiction detection highlighting where COPRASdisagrees with other methodologies.

COPRAS — Frequently Asked Questions

What is COPRAS?+
Ranks alternatives using proportional assessment of benefit and cost criteria. In SolveRight, COPRAS uses a distance-based rubric to compute a normalized 0–100 score for each option.
When should I use COPRAS?+
COPRAS is best suited for Decision Science (MCDA) decisions. It evaluates factors like criteria classification, weights, performance matrix, making it valuable when you need systematic multi-criteria analysis backed by decision theory.
How does SolveRight use COPRAS?+
SolveRight runs COPRAS alongside up to 154 other frameworks simultaneously. The AI extractor identifies 3 key data points from your decision description, then the distance-based rubric computes deterministic scores. If COPRAS disagrees with other frameworks, contradiction detection highlights the divergence.
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Regret Minimization Framework

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ANP (Analytic Network Process)

Extends AHP to handle interdependencies and feedback between criteria and alternatives

TOPSIS

Ranks alternatives by closeness to ideal solution and distance from anti-ideal solution