Co-words analysis of the last ten years of the international journal of uncertainty, fuzziness and knowledge-based systems

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Conference Proceeding
Communications in Computer and Information Science, 2018, 855 pp. 667 - 677
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© Springer International Publishing AG, part of Springer Nature 2018. 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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