ScholarGate
Assistent

Compara mètodes

Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.

WLC ajustada per proximitat×Anàlisi de la relació de ponderació pas a pas×
CampPresa de decisionsPresa de decisions
FamíliaMCDMMCDM
Any d'origen20062010
Autor originalRinner, C.; Heppleston, A.Keršulienė, V., Zavadskas, E. K., Turskis, Z.
TipusSpatially heterogeneous additive utility — criterion weights vary per alternative as a function of proximity to a reference locationSequential step-ratio subjective weighting
Font seminalRinner, C., Heppleston, A. (2006). The spatial dimensions of multi-criteria evaluation — case study of a home buyer's spatial decision support system. Lecture Notes in Computer Science (GIScience 2006) DOI ↗Keršulienė, V., Zavadskas, E. K., Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management DOI ↗
Àlies
Relacionats88
ResumPROXIMITY-WLC (Proximity-Adjusted WLC — spatially explicit weighted linear combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Rinner, C.; Heppleston, A. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.SWARA (Step-Wise Weight Assessment Ratio Analysis) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Keršulienė, V., Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateConjunt de dades
  1. v1
  2. 1 Fonts
  3. PUBLISHED
  1. v1
  2. 1 Fonts
  3. PUBLISHED

Ves a la cerca Baixa les diapositives

ScholarGateCompara mètodes: PROXIMITY-WLC · SWARA. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare