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Managing Situations with High Number of Elements in Group Decision Making

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Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices (IEA/AIE 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12144))

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Abstract

Group Decision Making environments have completely changed. The number of information that the experts have available and that, therefore, they can use to discuss about is constantly increasing. There is a need of new Group Decision Making methods, like the one developed in this paper, that are capable of dealing with environments where the number of alternatives is high. In this paper, clustering methods are used in order to sort alternatives in categories and help experts in the task of making a decision.

This work has been supported by the ‘Juan de la Cierva Incorporacion’ grant from the Spanish Ministry of Economy and Competitiveness and by the Grant from the FEDER funds provided by the Spanish Ministry of Economy and Competitiveness (No. TIN2016-75850-R).

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Author information

Authors and Affiliations

  1. Andalusian Research Institute on Data Science and Computational Intelligence, University of Granada, Granada, Spain

    J. A. Morente-Molinera & E. Herrera-Viedma

  2. Department of Engineering, School of Engineering and Technology, Universidad Internacional de la Rioja (UNIR), Logroño, Spain

    S. Alonso, S. Ríos-Aguilar & R. González

Authors
  1. J. A. Morente-Molinera
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  2. S. Alonso
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  3. S. Ríos-Aguilar
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  4. R. González
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  5. E. Herrera-Viedma
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Corresponding author

Correspondence to J. A. Morente-Molinera .

Editor information

Editors and Affiliations

  1. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  2. Harbin Institute of Technology (Shenzhen), Shenzhen, China

    Philippe Fournier-Viger

  3. Texas State University, San Marcos, TX, USA

    Moonis Ali

  4. Iwate Prefectural University, Takizawa, Japan

    Jun Sasaki

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Morente-Molinera, J.A., Alonso, S., Ríos-Aguilar, S., González, R., Herrera-Viedma, E. (2020). Managing Situations with High Number of Elements in Group Decision Making. In: Fujita, H., Fournier-Viger, P., Ali, M., Sasaki, J. (eds) Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices. IEA/AIE 2020. Lecture Notes in Computer Science(), vol 12144. Springer, Cham. https://doi.org/10.1007/978-3-030-55789-8_79

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  • DOI: https://doi.org/10.1007/978-3-030-55789-8_79

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-55788-1

  • Online ISBN: 978-3-030-55789-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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