Which method should I use?
Describe your research situation in a few words; we surface the methods from the library that best fit your goal and data.
Recommendations for: rank alternatives across multiple weighted criteria for a decision
- FUCADecision Making
FUCA (Flexible and Universal Compromise Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Raveh, A. in 2000. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
- BORDADecision Making
BORDA (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 turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
- EVAMIXDecision Making
EVAMIX (EVAluation of MIXed data) is a ranking multi-criteria decision-making (MCDM) method introduced by Voogd, H. in 1983. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
- MERECDecision Making
MEREC (MEthod based on the Removal Effects of Criteria) is a weight objective multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
- TOPSISDecision Making
TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
- PIF-TOPSISDecision Making
PIF-TOPSIS (PiF-TOPSIS — Picture extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Cuong, B. C., Kreinovich, V. in 2013. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
Common question: which method?
For the most-asked situations, the methods the library surfaces.
Which method compares the means of two or more groups?
- Independent samples t-testStatistics
- Welch t-testStatistics
- Hotelling's T² TestStatistics
Which method predicts a continuous outcome from several variables?
- Multivariate RegressionStatistics
- Bayesian Multiple linear regressionStatistics
- Robust Multiple linear regressionStatistics
Which method classifies observations into categories?
- Grey ClusteringSoft Computing
- CNN Image ClassificationDeep Learning
- YOLODeep Learning
Which method groups similar observations without labels?
- K-Means ClusteringMachine Learning
- Hierarchical ClusteringMachine Learning
- Sentence EmbeddingsDeep Learning
Which method tests the association between two variables?
- Robust CorrelationStatistics
- Cramer's VStatistics
- Spearman CorrelationStatistics
Which method reduces many correlated variables to a few factors?
- Principal Component AnalysisMachine Learning
- Partial Least SquaresMachine Learning
- Locally Linear EmbeddingMachine Learning
Which method ranks alternatives across multiple criteria?
Refine this scenario →Which method analyzes time-to-event data with censoring?
- Weibull RegressionSurvival
- Kaplan-Meier EstimatorStatistics
- Royston-Parmar ModelSurvival