Aggregation & sorting
49 methods in this family.
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AVERAGE-RANKINGAVERAGE-RANKING (Average ranking — per-alternative mean rank) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Orakçı, E. in 2024. It turns a decBALANCED-SPOTISBALANCED-SPOTIS (Balanced SPOTIS — Balanced Stable Preference Ordering Towards Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Shekhovtsov, BONFERRONI-MEANBONFERRONI-MEAN (Bonferroni Mean (BM)) is a aggregation multi-criteria decision-making (MCDM) method introduced by Bonferroni, C. in 1950. It turns a decision matrix of alternativeBORDABORDA (Borda Count — Positional scoring rule for rank aggregation) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Borda, J.-C. de in 1900. It tBRAUERS-DOMINANCEBRAUERS-DOMINANCE (Brauers & Zavadskas (2014) Dominance Theory — used in MultiMOORA aggregation) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced byCanberra DistanceCanberra distance is a weighted version of the Manhattan distance that normalizes differences by the sum of absolute values. Introduced by Geoffrey Lance and William Williams in 19
All methods 49
AVERAGE-RANKINGBALANCED-SPOTISBONFERRONI-MEANBORDABRAUERS-DOMINANCECanberra DistanceCHOQUET-INTEGRALCONDORCETCONSENSUS-REACHINGCOOK-SEIFORDCOPELANDData-Driven MCDADEFUZZ-ALPHA-CUTDEFUZZ-CENTROIDDEFUZZ-MOMDEFUZZ-SCORE-IFNDNMADODGSONFLOWSORTHERONIAN-MEANKEMENY-YOUNGLINEAR-MAX-NORMALIZATIONLINEAR-SUM-NORMALIZATIONLOCAL-OWALOGARITHMIC-NORMALIZATIONMaclaurin Symmetric Mean OperatorMACONTMEDIAN-RANKINGMIN-MAX-NORMALIZATIONNANSONNORM-VECTOROWAPOWER-MEANRank AggregationRATSCHULZESOWASPOTISSTOCHASTIC-UTATNORM-EINSTEINTOPSIS-SORTUTADISUTASTARVECTOR-NORMALIZATIONWAMWEIGHTED-VOTINGWGMWHMZ-SCORE-NORMALIZATION