Utilizing lexicographic max product of picture fuzzy graph in human trafficking
Graph structures are an essential tool for solving combinatorial problems in computer science and computational intelligence. With an emphasis on signed graphs, picture-fuzzy graphs, and graphs with colored or labeled edges, this study explores the properties of picture-fuzzy graph topologies. Withi...
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| Published in | Ain Shams Engineering Journal Vol. 15; no. 11; p. 103009 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.11.2024
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2090-4479 2090-4495 2090-4495 |
| DOI | 10.1016/j.asej.2024.103009 |
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| Abstract | Graph structures are an essential tool for solving combinatorial problems in computer science and computational intelligence. With an emphasis on signed graphs, picture-fuzzy graphs, and graphs with colored or labeled edges, this study explores the properties of picture-fuzzy graph topologies. Within these frameworks, it presents key ideas such as the lexicographic-max product, vertex degree, and total degree. The use of picture-fuzzy graphs' lexicographic-max product to tackle intricate problems like human trafficking is a key component of this study. The study illustrates how this strategy can improve decision-making processes in such crucial areas by utilizing the special qualities of picture-fuzzy graphs. The study is supported by informative numerical examples that show how useful these ideas are in real-world situations. In addition, the study offers a thorough algorithmic foundation for applying the lexicographic-max product in practical situations, especially those involving human trafficking. The goal of this framework is to provide a workable approach for applying picture-fuzzy graph structures to enhance decision-making and tackle important societal issues. |
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| AbstractList | Graph structures are an essential tool for solving combinatorial problems in computer science and computational intelligence. With an emphasis on signed graphs, picture-fuzzy graphs, and graphs with colored or labeled edges, this study explores the properties of picture-fuzzy graph topologies. Within these frameworks, it presents key ideas such as the lexicographic-max product, vertex degree, and total degree. The use of picture-fuzzy graphs' lexicographic-max product to tackle intricate problems like human trafficking is a key component of this study. The study illustrates how this strategy can improve decision-making processes in such crucial areas by utilizing the special qualities of picture-fuzzy graphs. The study is supported by informative numerical examples that show how useful these ideas are in real-world situations. In addition, the study offers a thorough algorithmic foundation for applying the lexicographic-max product in practical situations, especially those involving human trafficking. The goal of this framework is to provide a workable approach for applying picture-fuzzy graph structures to enhance decision-making and tackle important societal issues. |
| ArticleNumber | 103009 |
| Author | Ali, Sikander Asim, Mudasser Hussain Almohsen, Bandar Liu, Peide Azeem, Muhammad |
| Author_xml | – sequence: 1 givenname: Peide orcidid: 0000-0001-5048-8145 surname: Liu fullname: Liu, Peide email: peide.liu@gmail.com organization: School of Business Administration, Shandong Women's University, Shandong, Jinan, 250300, China – sequence: 2 givenname: Mudasser Hussain surname: Asim fullname: Asim, Mudasser Hussain email: mudasser.h.asim@outlook.com organization: Department of Mathematics, COMSATS University Islamabad, Sahiwal campus, Pakistan – sequence: 3 givenname: Sikander orcidid: 0009-0000-9477-3108 surname: Ali fullname: Ali, Sikander email: sikanderalicui@gmail.com organization: Department of Mathematics, Riphah International University, Lahore, Pakistan – sequence: 4 givenname: Muhammad orcidid: 0000-0001-5181-4221 surname: Azeem fullname: Azeem, Muhammad email: azeemali7009@gmail.com organization: Department of Mathematics, Riphah International University, Lahore, Pakistan – sequence: 5 givenname: Bandar orcidid: 0000-0001-9294-505X surname: Almohsen fullname: Almohsen, Bandar email: balmohsen@ksu.edu.sa organization: Department of Mathematics, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia |
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| Issue | 11 |
| Keywords | Human trafficking Picture fuzzy set Lexicographic-max product Borders of countries Picture fuzzy graph |
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| Title | Utilizing lexicographic max product of picture fuzzy graph in human trafficking |
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