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Non-Deterministic Flow in Fuzzy Networks and Its Application in Identification of Human Trafficking Chains

Author

Listed:
  • John N. Mordeson

    (Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA)

  • Sunil Mathew

    (Department of Mathematics, National Institute of Technology, Calicut, Kerala 673601, India)

Abstract

Fuzzy networks serve as a reliable model in the study of several natural flows like flow of people between different countries, flow of data between different routers in internet etc. The node capacity restriction on fuzzy networks allows us to deal with the internal transits or capacities in an effective way. Connectivity concepts and domination in directed fuzzy networks are discussed in this paper. An application of directed fuzzy networks in human trafficking is also presented.

Suggested Citation

  • John N. Mordeson & Sunil Mathew, 2017. "Non-Deterministic Flow in Fuzzy Networks and Its Application in Identification of Human Trafficking Chains," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 231-243, November.
    • Handle: RePEc:wsi:nmncxx:v:13:y:2017:i:03:n:s1793005717400087
    DOI: 10.1142/S1793005717400087
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    Citations

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    Cited by:

    1. Santanu Acharjee & John N. Mordeson, 2017. "Soft Statistics with Respect to Utility and Application to Human Trafficking," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 289-310, November.
    2. Arya Sebastian & John N Mordeson & Sunil Mathew, 2020. "Generalized Fuzzy Graph Connectivity Parameters with Application to Human Trafficking," Mathematics, MDPI, vol. 8(3), pages 1-21, March.
    3. Shanookha Ali & Sunil Mathew & John N. Mordeson & Hossein Rashmanlou, 2018. "Vertex Connectivity of Fuzzy Graphs with Applications to Human Trafficking," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 457-485, November.

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