A Bibliometric Analysis of Robustness and MCDA
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-96150-3_16
Reference47 articles.
1. McKenna R, Bertsch V, Mainzer K, Fichtner W (2018) Combining local preferences with multi-criteria decision analysis and linear optimization to develop feasible energy concepts in small communities. Eur J Oper Res 268(3):1092–1110. https://doi.org/10.1016/j.ejor.2018.01.036
2. Duarte BPM, Reis A (2006) Developing a projects evaluation system based on multiple attribute value theory. Comput Oper Res 33(5):1488–1504. https://doi.org/10.1016/j.cor.2004.11.003
3. Roy B (2016) Paradigms and challenges. In: Multiple criteria decision analysis: state of the art surveys, pp 19–39. https://doi.org/10.1007/978-1-4939-3094-4_2
4. Figueira J, Greco S, Ehrogott M (2016) Multiple criteria decision analysis. In: Greco S, Ehrgott M, Figueira JR (eds), Multiple criteria decision analysis: state of the art surveys, vol 233. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-3094-4
5. Aissi H, Roy B (2010) Robustness in multi-criteria decision aiding, pp 87–121. https://doi.org/10.1007/978-1-4419-5904-1_4
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