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LOgarithmic DEcomposition of Criteria Importance×ARTASI×
VakgebiedBesluitvormingBesluitvorming
FamilieMCDMMCDM
Jaar van ontstaan20242024
GrondleggerPala, O.Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D.
TypeObjective weighting via logarithmic decompositionTwo-level standardization + ideal/anti-ideal utility (β-anchored)
Oorspronkelijke bronPala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications DOI ↗Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. (2024). A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management. Applied Soft Computing DOI ↗
Aliassen
Verwant88
SamenvattingLODECI (LOgarithmic DEcomposition of Criteria Importance) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pala, O. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.ARTASI (Alternative Ranking Technique based on Adaptive Standardized Intervals) is a ranking multi-criteria decision-making (MCDM) method introduced by Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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  1. v1
  2. 1 Bronnen
  3. PUBLISHED

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ScholarGateMethoden vergelijken: LODECI · ARTASI. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare