Fuzzy incidence graphs: Applications to human trafficking

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

doi:10.1016/j.ins.2018.03.022

Fuzzy incidence graphs: Applications to human trafficking

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

Department of Mathematics

Research output: Contribution to journal › Article

11 Scopus citations

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 language	English (US)
Pages (from-to)	244-255
Number of pages	12
Journal	Information Sciences
Volume	447
DOIs	https://doi.org/10.1016/j.ins.2018.03.022
State	Published - Jun 1 2018

All Science Journal Classification (ASJC) codes

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

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10.1016/j.ins.2018.03.022

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Malik, D. S., Mathew, S., & Mordeson, J. N. (2018). Fuzzy incidence graphs: Applications to human trafficking. Information Sciences, 447, 244-255. https://doi.org/10.1016/j.ins.2018.03.022

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