PIvot Pairwise RElative Criteria Importance Assessment
PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Stanujkić, D., Karabašević, D., Zavadskas, E. K., Turskis, Z., Maksimović, M. in 2017. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
Key highlights
- Follows a transparent, reproducible computational procedure that can be audited step by step.
- Handles multiple criteria of differing scales and units within a single decision matrix.
Intuition
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How it works
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When to use it
PIPRECIA is a variant of SWARA that allows s_j < 1 (criterion j+1 is more important than criterion j), making it usable even when the initial ranking is uncertain. k_j = 2 − s_j: if s_j = 1.5 then k_j = 0.5 meaning criterion j has twice the weight of criterion j+1.
Strengths & limitations
- Follows a transparent, reproducible computational procedure that can be audited step by step.
- Handles multiple criteria of differing scales and units within a single decision matrix.
- Results depend on the chosen normalisation, weights, and parameter settings.
Common pitfalls
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Sources
- 1.Stanujkić, D., Karabašević, D., Zavadskas, E. K., Turskis, Z., Maksimović, M. (2017). An approach to determining customer satisfaction in mobile commerce: A new approach to the SWARA method — PIPRECIA. Transformations in Business & Economics
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Cite this page
ScholarGate. (2026, June 2). PIPRECIA. ScholarGate. https://scholargate.app/decision-making/piprecia