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Level Based Weight Assessment

OriginatorŽižović, M., Pamučar, D.Year2019Sources1Related methods8

LBWA (Level Based Weight Assessment) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Žižović, M., Pamučar, D. in 2019. 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

LBWA groups criteria into levels (most important = Level 1) and assigns influence values I within each level. The elasticity coefficient r_0 controls how steeply weights decrease across levels. Criteria in Level 1 with I=0 always get the highest weight.

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.
    Žižović, M., Pamučar, D. (2019). New model for determining criteria weights: Level Based Weight Assessment (LBWA) model. Decision Making: Applications in Management and Engineering
    https://scholar.google.com/scholar?q=New+model+for+determining+criteria+weights%3A+Level+Based+Weight+Assessment+%28LBWA%29+model

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

Level Based Weight Assessment | ScholarGate