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Home›Decision-making›m-Polar Fuzzy extension of PROMETHEE I/II with AHP-derived crisp weights, six Brans–Vincke generalized criteria preference functions, and positive/negative/net outranking flows (Akram, Shumaiza & Alcantud 2020 / Akram & Adeel 2023 Ch. 7)
MCDMOutrankingM polar

m-Polar Fuzzy extension of PROMETHEE I/II with AHP-derived crisp weights, six Brans–Vincke generalized criteria preference functions, and positive/negative/net outranking flows (Akram, Shumaiza & Alcantud 2020 / Akram & Adeel 2023 Ch. 7)

MPF-PROMETHEE (m-Polar Fuzzy extension of PROMETHEE I/II with AHP-derived crisp weights, six Brans–Vincke generalized criteria preference functions, and positive/negative/net outranking flows (Akram, Shumaiza & Alcantud 2020 / Akram & Adeel 2023 Ch. 7)) is a outranking multi-criteria decision-making (MCDM) method introduced by Akram, M., Shumaiza, Alcantud, J. C. R. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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MPF-PROMETHEE
AHP

When to use it

MPF-PROMETHEE is an AHP-assisted group decision method that operates on m-polar fuzzy performance ratings. Its three defining advantages are: (1) the six Brans–Vincke generalized preference functions (Types I–VI) let the analyst express, per criterion, exactly how a performance gap should translate into a preference intensity — from binary (Type I) through threshold-step (Types II, IV) to linear-ramp (Types III, V) and Gaussian (Type VI); (2) the multi-criteria preference index Π(R_φ,R_σ) (Eq. 19) is the AHP-weighted average of these preferences, naturally interpretable as the outranking stren

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
  • May exhibit rank reversal when alternatives are added to or removed from the set.

Sources

  1. Akram, M., Shumaiza, Alcantud, J. C. R. (2020). An m-Polar Fuzzy PROMETHEE Approach for AHP-Assisted Group Decision-Making. Mathematical and Computational Applications (MDPI) DOI: 10.3390/mca25020026 ↗

How to cite this page

ScholarGate. (2026, June 2). m-Polar Fuzzy extension of PROMETHEE I/II with AHP-derived crisp weights, six Brans–Vincke generalized criteria preference functions, and positive/negative/net outranking flows (Akram, Shumaiza & Alcantud 2020 / Akram & Adeel 2023 Ch. 7). ScholarGate. https://scholargate.app/en/decision-making/mpf-promethee

Related methods

AHP

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Similar methods

MPF-ELECTRE-IIMPF-ELECTRE-IMPF-ELECTRE-IIIMPF-ELECTRE-IVMHF-TOPSISMPF-HF-TOPSISMPF-TOPSIS-LINGMPF-DOMBI-WA

Related reference concepts

Decision MakingDecision Support SystemsParticipative Decision MakingDecision Making SkillsCriteria for Decision-Making under Risk and UncertaintyWeighted Scores

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ScholarGate — MPF-PROMETHEE (m-Polar Fuzzy extension of PROMETHEE I/II with AHP-derived crisp weights, six Brans–Vincke generalized criteria preference functions, and positive/negative/net outranking flows (Akram, Shumaiza & Alcantud 2020 / Akram & Adeel 2023 Ch. 7)). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/mpf-promethee · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Akram, M., Shumaiza, Alcantud, J. C. R.
Subfamily
Outranking
Year
2020
Type
Outranking-flow PROMETHEE — six generalized criteria preference functions (I–VI), AHP-assisted scalar weights, positive/negative/net outranking flows, PROMETHEE I partial pre-order + PROMETHEE II complete order
Value Space
M polar
Uncertainty
epistemic
Compensation
partial
Rank Reversal
Yes
Related methods
AHP
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