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Group Decision-Making Based on Artificial Intelligence: A Bibliometric Analysis

Author

Listed:
  • Ruben Heradio

    (Department of Computer Systems and Software Engineering, Universidad Nacional de Educacion a Distancia (UNED), 28040 Madrid, Spain)

  • David Fernandez-Amoros

    (Department of Computer Systems and Software Engineering, Universidad Nacional de Educacion a Distancia (UNED), 28040 Madrid, Spain)

  • Cristina Cerrada

    (Department of Computer Systems and Software Engineering, Universidad Nacional de Educacion a Distancia (UNED), 28040 Madrid, Spain)

  • Manuel J. Cobo

    (Department of Computer Science and Engineering, University of Cádiz, 11519 Cádiz, Spain)

Abstract

Decisions concerning crucial and complicated problems are seldom made by a single person. Instead, they require the cooperation of a group of experts in which each participant has their own individual opinions, motivations, background, and interests regarding the existing alternatives. In the last 30 years, much research has been undertaken to provide automated assistance to reach a consensual solution supported by most of the group members. Artificial intelligence techniques are commonly applied to tackle critical group decision-making difficulties. For instance, experts’ preferences are often vague and imprecise; hence, their opinions are combined using fuzzy linguistic approaches. This paper reports a bibliometric analysis of the ample literature published in this regard. In particular, our analysis: (i) shows the impact and upswing publication trend on this topic; (ii) identifies the most productive authors, institutions, and countries; (iii) discusses authors’ and journals’ productivity patterns; and (iv) recognizes the most relevant research topics and how the interest on them has evolved over the years.

Suggested Citation

  • Ruben Heradio & David Fernandez-Amoros & Cristina Cerrada & Manuel J. Cobo, 2020. "Group Decision-Making Based on Artificial Intelligence: A Bibliometric Analysis," Mathematics, MDPI, vol. 8(9), pages 1-20, September.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:9:p:1566-:d:412281
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    References listed on IDEAS

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    Cited by:

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    3. Diamantino Torres & Carina Pimentel & João C. O. Matias, 2023. "Characterization of Tasks and Skills of Workers, Middle and Top Managers in the Industry 4.0 Context," Sustainability, MDPI, vol. 15(8), pages 1-30, April.

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