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Fuzzy Smart FMEA with DEA (FSFMEA) — Fuzzy FMEA + CCR Data Envelopment Analysis for corrective action prioritization

OriginatorAdesina, K.A.; Yazdi, M.; Zarei, E.; Pouyakian, M. (FSFMEA hybrid); Stamatis, D.H. 2003 (FMEA reference); Charnes-Cooper-Rhodes 1978 (DEA CCR); Buckley, J.J. 1985 (Fuzzy AHP for expert weighting)Year2022Sources1Related methods1

FUZZY-FMEA-DEA (Fuzzy Smart FMEA with DEA (FSFMEA) — Fuzzy FMEA + CCR Data Envelopment Analysis for corrective action prioritization) is a ranking multi-criteria decision-making (MCDM) method introduced by Adesina, K.A.; Yazdi, M.; Zarei, E.; Pouyakian, M. (FSFMEA hybrid); Stamatis, D.H. 2003 (FMEA reference); Charnes-Cooper-Rhodes 1978 (DEA CCR); Buckley, J.J. 1985 (Fuzzy AHP for expert weighting) in 2022. 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

Efficient FMs (DEA θ*=1) should be prioritized for corrective actions first, as they have lower cost and time requirements. Among efficient FMs, rank by RPN descending. Then handle inefficient FMs by RPN. Note: DEA efficiency here means the FM's corrective action is cost-time efficient — NOT that the FM itself is less risky (higher RPN = higher risk, lower C+T = easier to fix efficiently).

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.
    Adesina, K. A., Yazdi, M., Zarei, E., Pouyakian, M. (2022). Smart Decision Fuzzy-Based Data Envelopment Model for Failure Modes and Effects Analysis. in: Yazdi M. (ed.), Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis, Studies in Fuzziness and Soft Computing, Vol. 414, Springer, Cham, pp. 151-168 (Chapter 7)
    DOI 10.1007/978-3-030-93352-4_7

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ScholarGate. (2026, June 2). FUZZY-FMEA-DEA. ScholarGate. https://scholargate.app/decision-making/fuzzy-fmea-dea