Hangi yöntemi kullanmalıyım?
Araştırma durumunuzu birkaç kelimeyle anlatın; amacınıza ve veri tipinize en uygun yöntemleri kütüphaneden öne çıkaralım.
Şunun için öneriler: 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.
Sık sorulan: hangi yöntem?
En çok sorulan durumlar için kütüphanenin öne çıkardığı yöntemler.
İki ya da daha fazla grubun ortalamasını hangi yöntem karşılaştırır?
- Independent samples t-testStatistics
- Welch t-testStatistics
- Hotelling's T² TestStatistics
Birden çok değişkenden sürekli bir sonucu hangi yöntem tahmin eder?
- Multivariate RegressionStatistics
- Bayesian Multiple linear regressionStatistics
- Robust Multiple linear regressionStatistics
Gözlemleri kategorilere hangi yöntem sınıflandırır?
- Grey ClusteringSoft Computing
- CNN Image ClassificationDeep Learning
- YOLODeep Learning
Etiketsiz benzer gözlemleri hangi yöntem gruplar?
- K-Means ClusteringMachine Learning
- Hierarchical ClusteringMachine Learning
- Sentence EmbeddingsDeep Learning
İki değişken arasındaki ilişkiyi hangi yöntem test eder?
- Robust CorrelationStatistics
- Cramer's VStatistics
- Spearman CorrelationStatistics
Çok sayıda ilişkili değişkeni az sayıda faktöre hangi yöntem indirger?
- Principal Component AnalysisMachine Learning
- Partial Least SquaresMachine Learning
- Locally Linear EmbeddingMachine Learning
Alternatifleri çok ölçütlü olarak hangi yöntem sıralar?
Bu durumu özelleştir →Sansürlü olay-zamanı verisini hangi yöntem analiz eder?
- Weibull RegressionSurvival
- Kaplan-Meier EstimatorStatistics
- Royston-Parmar ModelSurvival