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- W4328108250 endingPage "119902" @default.
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- W4328108250 abstract "Analytic hierarchy process (AHP) and data envelopment analysis (DEA) are two popular decision science methods with many business, science, and engineering applications. AHP is a Multi-Attribute Decision-Making (MADM) method for prioritizing alternatives, and DEA is a non-parametric method for estimating production frontiers. Each method has known strengths and weaknesses, and the strengths in one method can overcome the weaknesses in the other. We study several strategies to diminish the weaknesses of DEA with the strengths of pairwise comparisons in AHP. We tackle the low discrimination power inherent to conventional DEA methods. AHP, with its pairwise comparison capability, has been consistently used to increase the discrimination power and accuracy in DEA. We propose and evaluate several new hybrid MADM-DEA models of different computational complexity and consistency, including combinations of the best-worst method (BWM) and its variants with DEA as well as a novel method composed of Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) and DEA. We further develop a new technique for evaluating the similarity among multiple ranking results in MADM. The new simple but powerful technique is called Rank Absolute Deviation (RAD) and is inspired by the mean absolute deviation method. Several numerical examples and a real-world problem are used to demonstrate the applicability and efficacy of the new BWM-DEA, MACBETH-DEA, and RAD methods proposed in this study. We illustrate how less computationally demanding MADM-DEA techniques provide rankings that are highly correlated with the benchmark DEA-AHP and different consensus ranking models." @default.
- W4328108250 created "2023-03-22" @default.
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- W4328108250 date "2023-08-01" @default.
- W4328108250 modified "2023-09-30" @default.
- W4328108250 title "Analytic hierarchy process and data envelopment analysis: A match made in heaven" @default.
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- W4328108250 cites W1987562258 @default.
- W4328108250 cites W1995050331 @default.
- W4328108250 cites W1995363975 @default.
- W4328108250 cites W2000200316 @default.
- W4328108250 cites W2008627622 @default.
- W4328108250 cites W2012308696 @default.
- W4328108250 cites W2012651708 @default.
- W4328108250 cites W2015648120 @default.
- W4328108250 cites W2016838499 @default.
- W4328108250 cites W2018516453 @default.
- W4328108250 cites W2021951270 @default.
- W4328108250 cites W2027724484 @default.
- W4328108250 cites W2033401964 @default.
- W4328108250 cites W2038292519 @default.
- W4328108250 cites W2046433109 @default.
- W4328108250 cites W2048039127 @default.
- W4328108250 cites W2048654069 @default.
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- W4328108250 cites W2131462176 @default.
- W4328108250 cites W2139733414 @default.
- W4328108250 cites W2139823292 @default.
- W4328108250 cites W2144630687 @default.
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- W4328108250 cites W2171652253 @default.
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- W4328108250 cites W2191407040 @default.
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- W4328108250 cites W2461283622 @default.
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- W4328108250 cites W28739319 @default.
- W4328108250 cites W2887162389 @default.
- W4328108250 cites W2905748561 @default.
- W4328108250 cites W2951725319 @default.
- W4328108250 cites W2992195516 @default.
- W4328108250 cites W2994742334 @default.
- W4328108250 cites W2996532790 @default.
- W4328108250 cites W3008779733 @default.
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- W4328108250 doi "https://doi.org/10.1016/j.eswa.2023.119902" @default.
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