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Consensus in fuzzy opinion networks

Author

Listed:
  • Adil Amirjanov

    (Department of Computer Science, Near East University, via Mersin-10, Nicosia, Northern Cyprus, Turkey)

Abstract

This paper developed the dynamics of opinion network where a node interacts with only one node in each step and these nodes will not exchange their opinions until the difference of their opinions is below a tolerance threshold. Every node is a Gaussian fuzzy set with the center representing an opinion itself and a standard deviation characterizing an uncertainty about the opinion. The fuzzy opinion network with different uncertainties’ levels of nodes was investigated to show how opinions and their uncertainties propagate and evolve for reaching a consensus in the network. The theoretical and numerical analyses were used to assess the conditions where a consensus can be reached in the fuzzy opinion network.

Suggested Citation

  • Adil Amirjanov, 2023. "Consensus in fuzzy opinion networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 34(10), pages 1-13, October.
    • Handle: RePEc:wsi:ijmpcx:v:34:y:2023:i:10:n:s0129183123501358
    DOI: 10.1142/S0129183123501358
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