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Attitude-Based Consensus Model for Heterogeneous Group Decision Making

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Knowledge Engineering and Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 214))

Abstract

Usually, human beings make decisions in their daily life providing their preferences according to their knowledge area and background. Therefore, when a high number of decision makers take part in a group decision-making problem, it is usual that they use different information domains to express their preferences. Besides, it might occur that several subgroups of decision makers have different interests, which may lead to situations of disagreement amongst them. Therefore, the integration of the group’s attitude toward consensus might help optimizing the consensus reaching process according to the needs of decision makers. In this contribution, we propose an attitude-based consensus model for heterogeneous group decision-making problems with large groups of decision makers.

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Acknowledgments

This work is partially supported by the Research Project TIN-2009-08286 and FEDER funds.

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Authors and Affiliations

  1. Department of Computer Science, University of Jaén, Campus Las Lagunillas, s/n. 23071, Jaén, Spain

    R. M. Rodríguez, I. Palomares & L. Martínez

Authors
  1. R. M. Rodríguez
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  2. I. Palomares
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  3. L. Martínez
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Corresponding author

Correspondence to R. M. Rodríguez .

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Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China, People's Republic

    Fuchun Sun

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China, People's Republic

    Tianrui Li

  3. Department of Computer Science and Techn, Tsinghua University, Beijing, China, People's Republic

    Hongbo Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Rodríguez, R.M., Palomares, I., Martínez, L. (2014). Attitude-Based Consensus Model for Heterogeneous Group Decision Making. In: Sun, F., Li, T., Li, H. (eds) Knowledge Engineering and Management. Advances in Intelligent Systems and Computing, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37832-4_26

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  • DOI: https://doi.org/10.1007/978-3-642-37832-4_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37831-7

  • Online ISBN: 978-3-642-37832-4

  • eBook Packages: EngineeringEngineering (R0)

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