Fuzzy Full Consistency Method (TFN)
FUCOM-F (Fuzzy Full Consistency Method (TFN)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Pamucar, D., Ecer, F. in 2018 crisp; 2020 variant applicator. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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When to use it
FUCOM-F returns crisp criterion weights (Σ w_j = 1, w_j ≥ 0) and a defuzzified consistency deviation S(χ̃). It needs only n−1 fuzzy pairwise priority ratios on the ranked criterion chain; the NLP additionally enforces transitivity. S(χ̃) = 0 means perfect fuzzy transitivity. Compared with FUCOM (crisp), FUCOM-F lets experts express uncertainty in each priority ratio.
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.
Sources
- Pamucar, D., Ecer, F. (2020). Prioritizing the weights of the evaluation criteria under fuzziness: The fuzzy full consistency method – FUCOM-F. Facta Universitatis, Series: Mechanical Engineering DOI: 10.22190/FUME200602034P ↗
How to cite this page
ScholarGate. (2026, June 2). Fuzzy Full Consistency Method (TFN). ScholarGate. https://scholargate.app/en/decision-making/fucom-f
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