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A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria. <i>Annals of Operations Research</i>, <i>289</i>(2), 391–418. <a href=\"https://doi.org/10.1007/s10479-020-03603-x\">https://doi.org/10.1007/s10479-020-03603-x</a>","short":"A. Vafadarnikjoo, M. Tavana, T. Botelho, K. Chalvatzis, Annals of Operations Research 289 (2020) 391–418.","bibtex":"@article{Vafadarnikjoo_Tavana_Botelho_Chalvatzis_2020, title={A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria}, volume={289}, DOI={<a href=\"https://doi.org/10.1007/s10479-020-03603-x\">10.1007/s10479-020-03603-x</a>}, number={2}, journal={Annals of Operations Research}, publisher={Springer Science and Business Media LLC}, author={Vafadarnikjoo, Amin and Tavana, Madjid and Botelho, Tiago and Chalvatzis, Konstantinos}, year={2020}, pages={391–418} }","mla":"Vafadarnikjoo, Amin, et al. “A Neutrosophic Enhanced Best–Worst Method for Considering Decision-Makers’ Confidence in the Best and Worst Criteria.” <i>Annals of Operations Research</i>, vol. 289, no. 2, Springer Science and Business Media LLC, 2020, pp. 391–418, doi:<a href=\"https://doi.org/10.1007/s10479-020-03603-x\">10.1007/s10479-020-03603-x</a>."},"year":"2020","volume":289,"date_created":"2024-05-04T15:35:56Z","author":[{"first_name":"Amin","last_name":"Vafadarnikjoo","full_name":"Vafadarnikjoo, Amin"},{"first_name":"Madjid","last_name":"Tavana","full_name":"Tavana, Madjid","id":"31858"},{"last_name":"Botelho","full_name":"Botelho, Tiago","first_name":"Tiago"},{"first_name":"Konstantinos","last_name":"Chalvatzis","full_name":"Chalvatzis, Konstantinos"}],"publisher":"Springer Science and Business Media LLC","date_updated":"2024-05-04T15:57:35Z","doi":"10.1007/s10479-020-03603-x","title":"A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria"},{"year":"2020","citation":{"ieee":"M. Tavana, K. Khalili-Damghani, F. J. Santos Arteaga, and A. Hashemi, “A Malmquist productivity index for network production systems in the energy sector,” <i>Annals of Operations Research</i>, vol. 284, no. 1, pp. 415–445, 2020, doi: <a href=\"https://doi.org/10.1007/s10479-019-03173-7\">10.1007/s10479-019-03173-7</a>.","chicago":"Tavana, Madjid, Kaveh Khalili-Damghani, Francisco J. Santos Arteaga, and Arousha Hashemi. “A Malmquist Productivity Index for Network Production Systems in the Energy Sector.” <i>Annals of Operations Research</i> 284, no. 1 (2020): 415–45. <a href=\"https://doi.org/10.1007/s10479-019-03173-7\">https://doi.org/10.1007/s10479-019-03173-7</a>.","ama":"Tavana M, Khalili-Damghani K, Santos Arteaga FJ, Hashemi A. A Malmquist productivity index for network production systems in the energy sector. <i>Annals of Operations Research</i>. 2020;284(1):415-445. doi:<a href=\"https://doi.org/10.1007/s10479-019-03173-7\">10.1007/s10479-019-03173-7</a>","apa":"Tavana, M., Khalili-Damghani, K., Santos Arteaga, F. J., &#38; Hashemi, A. (2020). A Malmquist productivity index for network production systems in the energy sector. <i>Annals of Operations Research</i>, <i>284</i>(1), 415–445. <a href=\"https://doi.org/10.1007/s10479-019-03173-7\">https://doi.org/10.1007/s10479-019-03173-7</a>","short":"M. Tavana, K. Khalili-Damghani, F.J. Santos Arteaga, A. 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A novel method for selecting a single efficient unit in data envelopment analysis without explicit inputs/outputs. <i>Annals of Operations Research</i>. 2017;253(1):657-681. doi:<a href=\"https://doi.org/10.1007/s10479-016-2375-1\">10.1007/s10479-016-2375-1</a>","ieee":"M. Toloo and M. Tavana, “A novel method for selecting a single efficient unit in data envelopment analysis without explicit inputs/outputs,” <i>Annals of Operations Research</i>, vol. 253, no. 1, pp. 657–681, 2017, doi: <a href=\"https://doi.org/10.1007/s10479-016-2375-1\">10.1007/s10479-016-2375-1</a>.","chicago":"Toloo, Mehdi, and Madjid Tavana. “A Novel Method for Selecting a Single Efficient Unit in Data Envelopment Analysis without Explicit Inputs/Outputs.” <i>Annals of Operations Research</i> 253, no. 1 (2017): 657–81. <a href=\"https://doi.org/10.1007/s10479-016-2375-1\">https://doi.org/10.1007/s10479-016-2375-1</a>.","apa":"Toloo, M., &#38; Tavana, M. (2017). 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Tavana, D. Di Caprio, F.J. Santos-Arteaga, Annals of Operations Research 244 (2016) 647–676.","apa":"Tavana, M., Di Caprio, D., &#38; Santos-Arteaga, F. J. (2016). Loyal customer bases as innovation disincentives for duopolistic firms using strategic signaling and Bayesian analysis. <i>Annals of Operations Research</i>, <i>244</i>(2), 647–676. <a href=\"https://doi.org/10.1007/s10479-016-2114-7\">https://doi.org/10.1007/s10479-016-2114-7</a>","ama":"Tavana M, Di Caprio D, Santos-Arteaga FJ. Loyal customer bases as innovation disincentives for duopolistic firms using strategic signaling and Bayesian analysis. <i>Annals of Operations Research</i>. 2016;244(2):647-676. doi:<a href=\"https://doi.org/10.1007/s10479-016-2114-7\">10.1007/s10479-016-2114-7</a>","chicago":"Tavana, Madjid, Debora Di Caprio, and Francisco J. 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