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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

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    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. Hansen, Pierre & Mladenovic, Nenad, 2001. "Variable neighborhood search: Principles and applications," European Journal of Operational Research, Elsevier, vol. 130(3), pages 449-467, May.
    3. Hansen, Pierre & Mladenovic, Nenad & Moreno Pérez, Jos´e A., 2008. "Variable neighborhood search," European Journal of Operational Research, Elsevier, vol. 191(3), pages 593-595, December.
    4. 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.
    Full references (including those not matched with items on IDEAS)

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