Information Sciences
Volume 447, 2018, Pages 244-255

Fuzzy incidence graphs: Applications to human trafficking (Article)

Malik D.S. , Mathew S.* , Mordeson J.N.
  • a Department of Mathematics, Creighton University68178, United States
  • b Department of Mathematics, National Institute of Technology Calicut673601, India
  • c Department of Mathematics, Creighton University68178, United States

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. © 2018 Elsevier Inc.

Author Keywords

[t^,s^)-fuzzy complementary incidence graph Fuzzy incidence graph government response Vulnerability Human trafficking Quasi-fuzzy incidence graph

Index Keywords

Government response Incidence graphs Software engineering vulnerability human trafficking crime artificial intelligence
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044147133&doi=10.1016%2fj.ins.2018.03.022&partnerID=40&md5=dd8a70f9311ac53af26a595df33e9614
DOI: 10.1016/j.ins.2018.03.022
ISSN: 00200255
Cited by: 8
Original Language: English