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Paul Augustine Ejegwa on Muck Rack

Paul Augustine Ejegwa

As seen in: Nature, MDPI, International Journal of Electronic Business
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Articles

Spearman-based correlation methods under single-valued neutrosophic sets with application to wheat farmland selection

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By Paul Augustine Ejegwa, Nasreen Kausar, Mohammed Salman, Tamunokuro Opubo William-West, Akbota Nurgaliyeva
| Nature Verified
Abstract Wheat remains a main staple crop in Sub-Saharan Africa, yet its cultivation is increasingly endangered by climate unpredictability and environmental uncertainty. The selection of an appropriate farmland for optimal wheat productivity, therefore, involves complex, imprecise, incomplete, and uncertain information.
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New Fermatean Fuzzy Distance Metric and Its Utilization in the Assessment of Security Crises using the MCDM Technique

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By Paul Augustine Ejegwa, Nasreen Kausar, Manasseh Terna Anum, Chukwudi Obinna Nwokoro
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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linking academia, business and industry through research

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By Paul Augustine Ejegwa
| International Journal of Electronic Business Verified
Home Full-text access for editors New similarity measures for Pythagorean fuzzy sets with applications by Paul Augustine Ejegwa International Journal of Fuzzy Computation and Modelling (IJFCM), Vol. 3, No. 1, 2020 Abstract: The concept of Pythagorean fuzzy sets (PFSs) is pertinent in finding reliable solution to decision-making problems, because of its unique nature of indeterminacy.
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