MCDMDecision-makingRankingMath steps

Proximity Indexed Value

OriginatorMufazzal, S. Muzakkir, S. M.Year2018Sources1

PIV (Proximity Indexed Value) is a ranking multi-criteria decision-making (MCDM) method introduced by Mufazzal, S. Muzakkir, S. M. in 2018. 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

PIV uses absolute differences from ideal (not squared); more resistant to rank reversal than TOPSIS.

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.

Common pitfalls

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Sources

  1. 1.
    Mufazzal, S., Muzakkir, S. M. (2018). A new multi-criterion decision making (MCDM) method based on proximity indexed value for minimizing rank reversals. Computers & Industrial Engineering

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Cite this page

ScholarGate. (2026, June 2). PIV. ScholarGate. https://scholargate.app/decision-making/piv

Proximity Indexed Value | ScholarGate