Uncertainty in Computer and Decision-Making Sciences: A Bibliometric Overview
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-25759-9_16
Reference33 articles.
1. Alfaro-García, V. G., Merigó, J. M., Pedrycz, W., & Gómez Monge, R. (2020). Citation analysis of fuzzy set theory journals: Bibliometric insights about authors and research areas. International Journal of Fuzzy Systems, 22, 2414–2448. https://doi.org/10.1007/s40815-020-00924-8
2. Alonso, S., Cabrerizo, F. J., Herrera-Viedma, E., & Herrera, F. (2009). H-Index: A review focused on its variants, computation, and standardization for different scientific fields. Journal of Informetrics, 3, 273–289. https://doi.org/10.1016/j.joi.2009.04.001
3. Ascough, J. C., Maier, H. R., Ravalico, J. K., & Strudley, M. W. (2008). Future research challenges for incorporation of uncertainty in environmental and ecological decision-making. Ecological Modelling, 219, 383–399. https://doi.org/10.1016/j.ecolmodel.2008.07.015
4. Blossfeld, H.-P., Golsch, K., & Rohwer, G. (2007). Event history analysis with stata. Psychology Press.
5. Booker, J. M., & Ross, T. J. (2011). An evolution of uncertainty assessment and quantification. Scientia Iranica, 18, 669–676. https://doi.org/10.1016/j.scient.2011.04.017
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