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Home›Decision-making›PIvot Pairwise RElative Criteria Importance Assessment
MCDMWeight Subjectivecrisp

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.

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PIPRECIA
AHPSORTAPLOCOARASAROMANARTASICOBRACOCOSOCODAS

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

Strengths
  • 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.
Limitations
  • Results depend on the chosen normalisation, weights, and parameter settings.

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 link ↗

How to cite this page

ScholarGate. (2026, June 2). PIvot Pairwise RElative Criteria Importance Assessment. ScholarGate. https://scholargate.app/en/decision-making/piprecia

Related methods

AHPSORTAPLOCOARASAROMANARTASICOBRACOCOSOCODAS

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SWARAMAIRCALBWAN-MULTIMOORADIBRSIWECPIF-CIMASPIF-CIMAS-ARTASI

Related reference concepts

Decision Support SystemsDecision MakingWeighted ScoresCriteria for Decision-Making under Risk and UncertaintyPrior Elicitation and Sensitivity AnalysisDecision Making Skills

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment). Retrieved 2026-07-20 from https://scholargate.app/en/decision-making/piprecia · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Stanujkić, D., Karabašević, D., Zavadskas, E. K., Turskis, Z., Maksimović, M.
Subfamily
Weight Subjective
Year
2017
Type
Pivot pairwise sequential ratio weighting
Value Space
crisp
Uncertainty
None
Compensation
N/A
Rank Reversal
No
Related methods
AHPSORTAPLOCOARASAROMANARTASICOBRACOCOSOCODAS
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