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A Feedback Mechanism Based on Granular Computing to Improve Consensus in GDM

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Soft Computing Applications for Group Decision-making and Consensus Modeling

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 357))

Abstract

Group decision making is an important task in real world activities. It consists in obtaining the best solution to a particular problem according to the opinions given by a set of decision makers. In such a situation, an important issue is the level of consensus achieved among the decision makers before making a decision. For this reason, different feedback mechanisms, which help decision makers for reaching the highest degree of consensus possible, have been proposed in the literature. In this contribution, we present a new feedback mechanism based on granular computing to improve consensus in group decision making problems. Granular computing is a framework of designing, processing, and interpretation of information granules, which can be used to obtain a required flexibility to improve the level of consensus within the group of decision makers.

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Acknowledgements

The authors would like to acknowledge FEDER financial support from the Projects TIN2013-40658-P and TIN2016-75850-P.

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Authors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, University of Granada, C/ Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain

    Francisco Javier Cabrerizo & Enrique Herrera-Viedma

  2. Faculty of Technology, De Montfort University, Leicester, England

    Francisco Chiclana

  3. Department of Computer Sciences and Engineering, University of Cádiz, Cádiz, Spain

    Ignacio Javier Pérez

  4. Department of Computer Science, University of Jaén, Jaén, Spain

    Francisco Mata

  5. Department of Software Engineering, University of Granada, Granada, Spain

    Sergio Alonso

Authors
  1. Francisco Javier Cabrerizo
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  2. Francisco Chiclana
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  3. Ignacio Javier Pérez
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  4. Francisco Mata
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  5. Sergio Alonso
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  6. Enrique Herrera-Viedma
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Corresponding author

Correspondence to Francisco Javier Cabrerizo .

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Editors and Affiliations

  1. School of Business and Management, Lappeenranta University of Technology, Lappeenranta, Finland

    Mikael Collan

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Cabrerizo, F.J., Chiclana, F., Pérez, I.J., Mata, F., Alonso, S., Herrera-Viedma, E. (2018). A Feedback Mechanism Based on Granular Computing to Improve Consensus in GDM. In: Collan, M., Kacprzyk, J. (eds) Soft Computing Applications for Group Decision-making and Consensus Modeling. Studies in Fuzziness and Soft Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-60207-3_22

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  • DOI: https://doi.org/10.1007/978-3-319-60207-3_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60206-6

  • Online ISBN: 978-3-319-60207-3

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