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Multiple criteria decision making with generalized DEA and an aspiration level method

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  • Yun, Y. B.
  • Nakayama, H.
  • Arakawa, M.
Abstract
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Suggested Citation

  • Yun, Y. B. & Nakayama, H. & Arakawa, M., 2004. "Multiple criteria decision making with generalized DEA and an aspiration level method," European Journal of Operational Research, Elsevier, vol. 158(3), pages 697-706, November.
    • Handle: RePEc:eee:ejores:v:158:y:2004:i:3:p:697-706
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    References listed on IDEAS

    as
    1. Yun, Y. B. & Nakayama, H. & Tanino, T. & Arakawa, M., 2001. "Generation of efficient frontiers in multi-objective optimization problems by generalized data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 129(3), pages 586-595, March.
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    Cited by:

    1. Chai, Junyi, 2021. "A model of ambition, aspiration and happiness," European Journal of Operational Research, Elsevier, vol. 288(2), pages 692-702.
    2. Yeboon Yun & Hirotaka Nakayama & Min Yoon, 2016. "Generation of Pareto optimal solutions using generalized DEA and PSO," Journal of Global Optimization, Springer, vol. 64(1), pages 49-61, January.
    3. Kourosh Ranjbar & Hamid Khaloozadeh & Aghileh Heydari, 2020. "A novel mixed Spider’s web initial solution and data envelopment analysis for solving multi-objective optimization problems," 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. 28(1), pages 193-208, March.
    4. Cheng Peng & Dianzhuang Feng & Sidai Guo, 2021. "Material Selection in Green Design: A Method Combining DEA and TOPSIS," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    5. Yeboon Yun & Hirotaka Nakayama, 2013. "Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms," Journal of Global Optimization, Springer, vol. 57(2), pages 367-384, October.
    6. Lin, Rung-Chuan & Sir, Mustafa Y. & Pasupathy, Kalyan S., 2013. "Multi-objective simulation optimization using data envelopment analysis and genetic algorithm: Specific application to determining optimal resource levels in surgical services," Omega, Elsevier, vol. 41(5), pages 881-892.
    7. Marinakis, Vangelis & Doukas, Haris & Xidonas, Panos & Zopounidis, Constantin, 2017. "Multicriteria decision support in local energy planning: An evaluation of alternative scenarios for the Sustainable Energy Action Plan," Omega, Elsevier, vol. 69(C), pages 1-16.

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