Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process

By Ramakrishnan Ramanathan. Computers & Operations Research, 2006

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The debate on flexibility of environmental regulations, innovation capabilities and financial performance : a novel use of DEA (2018, background): “…applications (e.g., schools, universities, industry sectors, hospitals, retailers, banks, for deriving weights from pairwise comparison matrices - Ramanathan 2006, for ranking problems - Adler et al. 2002, for multiple-criteria decision making -Joro et al. 1998, new product development - Swink…”
A cosine maximization method for the priority vector derivation in AHP (2014, methodology): “…(IP) (Sugihara, Ishii, & Tanaka, 2004), linear programming method (LP) (Chandran, Golden, & Wasil, 2005), data envelopment analysis method (DEA) (Ramanathan, 2006), correlation coefficient maximization approach (CCM) (Wang, Parkan, & Luo, 2007), Bayesian prioritization procedure (BP)…”
A combined methodology for supplier selection and performance evaluation (2011, unknown): “…9) (7, 9, 10) A 7 (5, 7, 9) (5, 7, 9) (3, 5, 7) (3, 5, 7) (5, 7, 9) (5, 7, 9) Weight (0.029, 0.044, 0.080) (0.129, 0.227, 0.395) (0.043, 0.083, 0.169) (0.180, 0.327, 0.568) (0.102, 0.173, 0.296) (0.079, 0.145, 0.271) Gomes, & Meza, 2005; Ramanathan, 2006; Wei, Zhang, & Li, 1997; Zimmermann, 1985).”
The state of the art development of AHP (1979–2017): a literature review with a social network analysis (2017, methodology): “The authors demonstrate that this model provides better priority estimates and better decision conclusions than the DEAHP.”