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Analyzing Feedback Mechanisms in Group Decision Making Problems

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Book cover Advances in Fuzzy Logic and Technology 2017 (EUSFLAT 2017, IWIFSGN 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 643))

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Abstract

As reaching the maximum consensus degree in the group decision making problems is very important, many consensus reaching processes have been proposed in the literature. An important step within a consensus reaching process is the feedback mechanism, in which the experts involved in the decision problem under consideration are advised to modify their opinions in order to increase the level of consensus achieved. Therefore, many different feedback mechanisms have been proposed in the existing literature. The aim of this study is to present three of them and analyze their strengths and weaknesses. To do so, an illustrative example is provided.

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Acknowledgments

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

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Authors and Affiliations

  1. Graduate University of Advanced Technology, Kerman, Iran

    Atefeh Taghavi

  2. Shahid Bahonar University of Kerman, Kerman, Iran

    Esfandiar Eslami

  3. Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

    Francisco Javier Cabrerizo & Enrique Herrera-Viedma

Authors
  1. Atefeh Taghavi
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  2. Esfandiar Eslami
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  3. Francisco Javier Cabrerizo
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  4. Enrique Herrera-Viedma
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Corresponding author

Correspondence to Francisco Javier Cabrerizo .

Editor information

Editors and Affiliations

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

    Janusz Kacprzyk

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

    Eulalia Szmidt

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

    Slawomir Zadrożny

  4. Institute of Biophysics and Biomedical Engineering, Department of Bioinformatics and Mathematical Modelling, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir T. Atanassov

  5. WIT - Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

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Taghavi, A., Eslami, E., Cabrerizo, F.J., Herrera-Viedma, E. (2018). Analyzing Feedback Mechanisms in Group Decision Making Problems. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-66827-7_34

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  • DOI: https://doi.org/10.1007/978-3-319-66827-7_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66826-0

  • Online ISBN: 978-3-319-66827-7

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