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Consensus Modeling under Fuzziness – A Dynamic Approach with Random Iterative Steps

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Granular Computing and Decision-Making

Part of the book series: Studies in Big Data ((SBD,volume 10))

Abstract

This chapter presents a new dynamic model for consensus reaching under fuzziness that uses randomness in the modeling of the individual process iterations. Repeating the process multiple times leads to many singular (different) consensus process paths. The imprecision of the overall result, the resulting different consensus outcomes, is captured by introducing a simple process to form an overall distribution of the outcomes. The model uses a random term that is drawn from a uniform distribution to introduce randomness in the consensus reaching process, and allows for the modeling of real-world behavioral aspects of negotiations, such as negotiator “power” issues by tuning the “amount” of randomness used for each negotiation participant. The new model is numerically illustrated.

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Author information

Authors and Affiliations

  1. Department of Business Economics and Law, LUT School of Business, P.O. Box 20, Lappeenranta, Finland

    Pasi Luukka & Mikael Collan

  2. Department of Industrial Engineering, University of Trento, Via Sommarive 9, 38123, Trento, Italy

    Mario Fedrizzi

Authors
  1. Pasi Luukka
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  2. Mikael Collan
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  3. Mario Fedrizzi
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Corresponding author

Correspondence to Pasi Luukka .

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Alberta, Canada

    Witold Pedrycz

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Shyi-Ming Chen

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Luukka, P., Collan, M., Fedrizzi, M. (2015). Consensus Modeling under Fuzziness – A Dynamic Approach with Random Iterative Steps. In: Pedrycz, W., Chen, SM. (eds) Granular Computing and Decision-Making. Studies in Big Data, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-16829-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-16829-6_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16828-9

  • Online ISBN: 978-3-319-16829-6

  • eBook Packages: EngineeringEngineering (R0)

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