Co-words Analysis of the Last Ten Years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

  • Manuel J. Cobo
  • Wanru Wang
  • Sigifredo Laengle
  • José M. Merigó
  • Dejian Yu
  • Enrique Herrera-Viedma
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 855)


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.


Bibliometric analysis Science mapping analysis Co-words analysis 



The authors would like to acknowledge FEDER funds under grants TIN2013-40658-P and TIN2016-75850-R.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Manuel J. Cobo
    • 1
  • Wanru Wang
    • 2
  • Sigifredo Laengle
    • 3
  • José M. Merigó
    • 3
  • Dejian Yu
    • 2
  • Enrique Herrera-Viedma
    • 4
  1. 1.Department of Computer Science and EngineeringUniversity of CádizCádizSpain
  2. 2.School of InformationZhejiang University of Finance and EconomicsHangzhouChina
  3. 3.Department Management Control and Information Systems, School of Economics and BusinessUniversity of ChileSantiagoChile
  4. 4.Department of Computer Science and Artificial IntelligenceUniversity of GranadaGranadaSpain

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