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Cálculo de Combinación Lineal Ponderada Ajustada por Proximidad×Análisis de la Razón de Evaluación de Pesos Paso a Paso×
CampoToma de decisionesToma de decisiones
FamiliaMCDMMCDM
Año de origen20062010
Autor originalRinner, C.; Heppleston, A.Keršulienė, V., Zavadskas, E. K., Turskis, Z.
TipoSpatially heterogeneous additive utility — criterion weights vary per alternative as a function of proximity to a reference locationSequential step-ratio subjective weighting
Fuente 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 ↗
Alias
Relacionados88
ResumenPROXIMITY-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.
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ScholarGateComparar métodos: PROXIMITY-WLC · SWARA. Recuperado el 2026-06-18 de https://scholargate.app/es/compare