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Fuzzy Incidence Blocks and their Applications in Illegal Migration Problems

Author

Listed:
  • Sunil Mathew

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

  • John N. Mordeson

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

Abstract

Incidence blocks in fuzzy incidence graphs (FIGs) are studied in this paper. Incidence relations play very important roles in several natural and human made networks like road, pipe, power and data flow networks. Incidence blocks are characterized using strongest strong incidence paths. A more concrete structure called cyclically strong FIG (CSFIG) is also introduced and an application of fuzzy incidence blocks in illegal international migration is proposed.

Suggested Citation

  • Sunil Mathew & John N. Mordeson, 2017. "Fuzzy Incidence Blocks and their Applications in Illegal Migration Problems," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 245-260, November.
    • Handle: RePEc:wsi:nmncxx:v:13:y:2017:i:03:n:s1793005717400099
    DOI: 10.1142/S1793005717400099
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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. Muhammad Akram & Sumera Naz, 2018. "Energy of Pythagorean Fuzzy Graphs with Applications," Mathematics, MDPI, vol. 6(8), pages 1-27, August.

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