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Why do MCDM methods rank options differently?

Why do different MCDM techniques often produce different rankings for the same problem?

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By Shubham Answered 2 months ago

MCDM methods differ in how they normalize data, assign weights, and allow trade-offs between criteria. Because they rely on different mathematical assumptions and preference models, variation in rankings is expected. That’s why sensitivity analysis is essential to test result robustness.

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