Abstract
The main aim of this contribution is to develop a co-words analysis of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems in the last ten years (2008–2017). The software tool SciMAT is employed using an approach that allows us to uncover the main research themes and analyze them according to their performance measures (qualitative and quantitative). An amount of 562 documents were retrieved from the Web of Science. The corpus was divided into two consecutive periods (2008–2012 and 2013–2017). Our key findings are that the most important research themes in the first and second period were devoted with decision making process and its related aspects, techniques and methods.
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The authors would like to acknowledge FEDER funds under grants TIN2013-40658-P and TIN2016-75850-R.
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Cobo, M.J., Wang, W., Laengle, S., Merigó, J.M., Yu, D., Herrera-Viedma, E. (2018). Co-words Analysis of the Last Ten Years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. In: Medina, J., Ojeda-Aciego, M., Verdegay, J., Perfilieva, I., Bouchon-Meunier, B., Yager, R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2018. Communications in Computer and Information Science, vol 855. Springer, Cham. https://doi.org/10.1007/978-3-319-91479-4_55
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