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VNS Based MADM-Strategy Under Possibility Environment

Author

Listed:
  • Bimal Shil

    (Tripura University)

  • Prasenjit Sinha

    (Tripura University)

  • Binod Chandra Tripathy

    (Tripura University)

  • Suman Das

    (Tripura University)

Abstract

In this paper, we propose a Variable Neighborhood Search (VNS) algorithm based on Multi-AttributeDecision-Making (MADM) strategy under possibility environment. Further, we provide a numerical example to show the applicability and rationality of the proposed MADM strategy.

Suggested Citation

  • Bimal Shil & Prasenjit Sinha & Binod Chandra Tripathy & Suman Das, 2023. "VNS Based MADM-Strategy Under Possibility Environment," Annals of Data Science, Springer, vol. 10(6), pages 1571-1582, December.
    • Handle: RePEc:spr:aodasc:v:10:y:2023:i:6:d:10.1007_s40745-022-00419-3
    DOI: 10.1007/s40745-022-00419-3
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    References listed on IDEAS

    as
    1. Samrat Hore, 2017. "Variable Neighborhood Search Algorithm to Achieve Optimal Allocation Design for Known Covariates," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 4(1), pages 4-5, November.
    2. James M. Tien, 2017. "Internet of Things, Real-Time Decision Making, and Artificial Intelligence," Annals of Data Science, Springer, vol. 4(2), pages 149-178, June.
    3. Hansen, Pierre & Mladenovic, Nenad, 2001. "Variable neighborhood search: Principles and applications," European Journal of Operational Research, Elsevier, vol. 130(3), pages 449-467, May.
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