Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.ins.2018.03.022 | Information Sciences |
Keywords | Field | DocType |
Fuzzy incidence graph,Quasi-fuzzy incidence graph,[t^,s^)-fuzzy complementary incidence graph,Human trafficking,Vulnerability,Government response | Graph,Fuzzy logic,Theoretical computer science,Artificial intelligence,Mathematics,Human trafficking,Machine learning,Vulnerability,Government | Journal |
Volume | ISSN | Citations |
447 | 0020-0255 | 3 |
PageRank | References | Authors |
0.52 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. S. Malik | 1 | 120 | 27.65 |
| Sunil Mathew | 2 | 162 | 24.58 |
| John N. Mordeson | 3 | 302 | 57.25 |