Origin and Harbor of Refugees: Analysis by Mathematics of Uncertainty
John N. Mordeson,
Davender S. Malik () and
Sunil Mathew ()
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John N. Mordeson: Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA
Davender S. Malik: Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA
Sunil Mathew: Department of Mathematics, National Institute of Technology Calicut, Calicut, India
New Mathematics and Natural Computation (NMNC), 2025, vol. 21, issue 03, 1065-1075
Abstract:
Refugees are people who have been forced to flee from their home in order to escape conflict, violence, natural disaster, or persecution for reasons of race, region, nationality, political stance, or association with a particular social group. In this paper, we use fuzzy similarity measures to determine the relationship between countries with respect to being an origin country of refugees and a harboring country for refugees. We find the fuzzy similarity measure of an origin country and a harboring country. A country with a high refugee problem may have many refugees remaining within the country. We also consider fuzzy distance measures.
Keywords: Refugees; origin countries; harboring countries; country regions; fuzzy similarity measures; fuzzy distance measures (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:nmncxx:v:21:y:2025:i:03:n:s1793005725500516
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DOI: 10.1142/S1793005725500516
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