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A new data envelopment analysis method for priority determination and group decision making in the analytic hierarchy process

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  • Wang, Ying-Ming
  • Chin, Kwai-Sang

Abstract

The DEAHP method for weight deviation and aggregation in the analytic hierarchy process (AHP) has been found flawed and sometimes produces counterintuitive priority vectors for inconsistent pairwise comparison matrices, which makes its application very restrictive. This paper proposes a new data envelopment analysis (DEA) method for priority determination in the AHP and extends it to the group AHP situation. In this new DEA methodology, two specially constructed DEA models that differ from the DEAHP model are used to derive the best local priorities from a pairwise comparison matrix or a group of pairwise comparison matrices no matter whether they are perfectly consistent or inconsistent. The new DEA method produces true weights for perfectly consistent pairwise comparison matrices and the best local priorities that are logical and consistent with decision makers (DMs)' subjective judgments for inconsistent pairwise comparison matrices. In hierarchical structures, the new DEA method utilizes the simple additive weighting (SAW) method for aggregation of the best local priorities without the need of normalization. Numerical examples are examined throughout the paper to show the advantages of the new DEA methodology and its potential applications in both the AHP and group decision making.

Suggested Citation

  • Wang, Ying-Ming & Chin, Kwai-Sang, 2009. "A new data envelopment analysis method for priority determination and group decision making in the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 195(1), pages 239-250, May.
    • Handle: RePEc:eee:ejores:v:195:y:2009:i:1:p:239-250
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    Cited by:

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    2. Amy H. I. Lee & Chun Yu Lin & He-Yau Kang & Wen Hsin Lee, 2012. "An Integrated Performance Evaluation Model for the Photovoltaics Industry," Energies, MDPI, vol. 5(4), pages 1-21, April.
    3. Seyed Saeed Hosseinian & Hamidreza Navidi & Abas Hajfathaliha, 2012. "A New Linear Programming Method for Weights Generation and Group Decision Making in the Analytic Hierarchy Process," Group Decision and Negotiation, Springer, vol. 21(3), pages 233-254, May.
    4. Petra Grošelj & Špela Pezdevšek Malovrh & Lidija Zadnik Stirn, 2011. "Methods based on data envelopment analysis for deriving group priorities in analytic hierarchy process," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(3), pages 267-284, September.
    5. Ho, William & Ma, Xin, 2018. "The state-of-the-art integrations and applications of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 267(2), pages 399-414.
    6. Ying-Ming Wang & Ying Luo & Yi-Song Xu, 2013. "Cross-Weight Evaluation for Pairwise Comparison Matrices," Group Decision and Negotiation, Springer, vol. 22(3), pages 483-497, May.
    7. Liu, Bingsheng & Shen, Yinghua & Zhang, Wei & Chen, Xiaohong & Wang, Xueqing, 2015. "An interval-valued intuitionistic fuzzy principal component analysis model-based method for complex multi-attribute large-group decision-making," European Journal of Operational Research, Elsevier, vol. 245(1), pages 209-225.
    8. S M Mirhedayatian & R Farzipoor Saen, 2011. "A new approach for weight derivation using data envelopment analysis in the analytic hierarchy process," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(8), pages 1585-1595, August.

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