Fuzzy incidence graphs: Applications to human trafficking

Davender S. Malik, Sunil Mathew, J. N. Mordeson

Research output: Contribution to journal › Article

9 Citations (Scopus)

Abstract

In this paper, we provide initial results to the development a final area of (s, t]-fuzzy type incidence graphs, namely [t^,s^) -fuzzy incidence for complementary fuzzy incidence graphs. We apply the results to problems involving human trafficking. We are particularly interested in the role played by countries’ vulnerability and their government's response to human trafficking.

Original languageEnglish (US)
Pages (from-to)244-255
Number of pages12
JournalInformation Sciences
Volume447
DOIs
StatePublished - Jun 1 2018

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Incidence
Graph in graph theory
Vulnerability
Human
Graph
Human trafficking
Government

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

Cite this

Fuzzy incidence graphs : Applications to human trafficking. / Malik, Davender S.; Mathew, Sunil; Mordeson, J. N.

In: Information Sciences, Vol. 447, 01.06.2018, p. 244-255.

Research output: Contribution to journal › Article

Malik, DS, Mathew, S & Mordeson, JN 2018, 'Fuzzy incidence graphs: Applications to human trafficking', Information Sciences, vol. 447, pp. 244-255. https://doi.org/10.1016/j.ins.2018.03.022
Malik DS, Mathew S, Mordeson JN. Fuzzy incidence graphs: Applications to human trafficking. Information Sciences. 2018 Jun 1;447:244-255. https://doi.org/10.1016/j.ins.2018.03.022
Malik, Davender S. ; Mathew, Sunil ; Mordeson, J. N. / Fuzzy incidence graphs : Applications to human trafficking. In: Information Sciences. 2018 ; Vol. 447. pp. 244-255.
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