The Analytic Hierarchy Process (AHP) [9] is a powerful process to help people to express priorities and make the best decision when both qualitative and quantitative aspects of a decision need to be consid- ered. In this paper, in order to eliminate the influence of outliers, we use an approach based on Robust Partial Least Squares (R-PLS)[13] regression for the computation of the values for the weights of a com- parison matrix. A simulation study to compare the results with other methods for computing the weights proposed to analyze comparison matrix.
Analyzing AHP-matrices by Partial Least Squares Regression
MARCARELLI, Gabriella;
2008-01-01
Abstract
The Analytic Hierarchy Process (AHP) [9] is a powerful process to help people to express priorities and make the best decision when both qualitative and quantitative aspects of a decision need to be consid- ered. In this paper, in order to eliminate the influence of outliers, we use an approach based on Robust Partial Least Squares (R-PLS)[13] regression for the computation of the values for the weights of a com- parison matrix. A simulation study to compare the results with other methods for computing the weights proposed to analyze comparison matrix.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
CJMCS-marcarelli_simonetti_ventre.pdf
non disponibili
Licenza:
Non specificato
Dimensione
89.86 kB
Formato
Adobe PDF
|
89.86 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
