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International Journal of Neutrosophic Science

ISSN
Online: 2690-6805 Print: 2692-6148
Frequency

Continuous publication

Publication Model

Open access · Articles freely available online · APC applies after acceptance

International Journal of Neutrosophic Science
Full Length Article

Volume 24Issue 1PP: 269-280 • 2024

Neutrosophic Sets in Investigating the Right to Genetic Information: A Study using Fuzzy Cognitive Maps and D-OWA

Alex Fabián S. Moreno 1* ,
Jessica Johanna S. Moreno 2 ,
Paul Alejandro C. Maldonado 3 ,
Saziye Yaman 4
1Regional Autonomous University of Los Andes Ambato, Ecuador
2Regional Autonomous University of Los Andes Tulcán, Ecuador
3Regional Autonomous University of Los Andes Riobamba, Ecuador.
4Liberal Arts Department, American University of the Middle East, Kuwait
* Corresponding Author.
Received: August 18, 2023 Revised: December 17, 2023 Accepted: April 07, 2024

Abstract

This article provides a comprehensive view of the evolution and ethical implications of genetics, from its historical origins to modern advancements like the Human Genome Project. It emphasizes the importance of genetic information in disease prediction and understanding human diversity while highlighting the need to address associated ethical and privacy issues. It introduces Fuzzy Cognitive Maps (FCM) and the Dependent OWA (D-OWA) aggregation operator as innovative tools for analyzing the complex landscape of the Right to Genetic Information (RGI) in an international context, identifying key factors such as legal frameworks, technological advancements, access to health, culture, ethics, and commercial interests. The research reveals that while legal framework and technology are predominant, other factors also play significant roles in managing RGI. The application of D-OWA provides additional insights, confirming that conventional centrality assessments adequately reflect the priorities and influence of factors in RGI. It concludes by underlining the need for specific strategies to address these challenges, such as strengthening the legal framework, promoting ethics in genetics, improving public education, and respecting cultural diversity, to protect individual rights while leveraging the benefits of genetics for society.

Keywords

Neutrosophic sets D-OWA technique Fuzzy Logic Genetics right to genetic information dependent aggregation operator.

References

[1]        R. Cullen and S. Marshall, “Genetic research and genetic information: a health information professional’s  perspective on the benefits and risks.,” Health Info. Libr. J., vol. 23, no. 4, pp. 275–282, Dec. 2006, Available: https://pubmed.ncbi.nlm.nih.gov/17177948/.

[2]        A. R. Starkweather et al., “Strengthen federal regulation of laboratory-developed and direct-to-consumer genetic testing,” Nurs. Outlook, vol. 66, no. 1, pp. 101–104, 2018, Available: https://www.sciencedirect.com/science/article/abs/pii/S0029655417306292.

[3]        Kanika Sharma, Achyut Shankar, Prabhishek Singh, Information Security Assessment in Big Data Environment using Fuzzy Logic, Journal of Journal of Cybersecurity and Information Management, Vol. 5 , No. 1 , (2021) : 29-42 (Doi   :  https://doi.org/10.54216/JCIM.050103).

[4]        J. Kaye, S. Gibbons, C. Heeney, and A. Smart, Governing biobanks: understanding the interplay between law and practice. Bloomsbury Publishing, 2012, Available: https://script-ed.org/wp-content/uploads/2015/06/lohse_grewal.pdf.

[5]        A. Sariga, J. Uthayakumar, Type 2 Fuzzy Logic based Unequal Clustering algorithm for multi-hop wireless sensor networks, Journal of International Journal of Wireless and Ad Hoc Communication, Vol. 1 , No. 1 , (2020) : 33-46 (Doi   :  https://doi.org/10.54216/IJWAC.010102)

[6]        W. J. Pavan and R. A. Sturm, “The Genetics of Human Skin and Hair Pigmentation.,” Annu. Rev. Genomics Hum. Genet., vol. 20, pp. 41–72, Aug. 2019, Available: https://pubmed.ncbi.nlm.nih.gov/31100995/.

[7]        C. A. Newton et al., “The Role of Genetic Testing in Pulmonary Fibrosis: A Perspective From the Pulmonary Fibrosis Foundation Genetic Testing Work Group,” Chest, vol. 162, no. 2, pp. 394–405, 2022, Available: https://pubmed.ncbi.nlm.nih.gov/35337808/.

[8]        M. F. Hatwágner, E. Yesil, M. F. Dodurka, E. Papageorgiou, L. Urbas, and L. T. Kóczy, “Two-stage learning based fuzzy cognitive maps reduction approach,” IEEE Trans. Fuzzy Syst., vol. 26, no. 5, pp. 2938–2952, 2018, Available: https://ieeexplore.ieee.org/abstract/document/8259309.

[9]        I. D. Apostolopoulos, N. I. Papandrianos, N. D. Papathanasiou, and E. I. Papageorgiou, “Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study.,” Bioeng. (Basel, Switzerland), vol. 11, no. 2, p. 139, Jan. 2024, Available: https://pubmed.ncbi.nlm.nih.gov/38391626/.

[10]      Mohammad Hossein Shafiabadi, Zohre Ahmadi, Mohammad Reza Esfandyari, Solving the Problem of Target k-Coverage in WSNs Using Fuzzy Clustering Algorithm, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 2 , No. 2 , (2021) : 55-76 (Doi   :  https://doi.org/10.54216/JISIoT.020203)

[11]      R. Yager, J. Kacprzyk, and G. Beliakov, Preface: In Recent developments in the ordered weighted averaging operators: theory and practice. Deakin University, 2011, Available: https://link.springer.com/book/10.1007/978-3-642-17910-5.

[12]      R. R. Yager, “On ordered weighted averaging aggregation operators in multicriteria decisionmaking,” IEEE Trans. Syst. Man. Cybern., vol. 18, no. 1, pp. 183–190, 1988, Available: https://www.sciencedirect.com/science/article/abs/pii/B9781483214504500110.

[13]      Abedallah Z. Abualkishik, Rasha Almajed, Amer Ibrahim, An Integrated Spherical Fuzzy Approach for Global Supplier Selection, Journal of Fusion: Practice and Applications, Vol. 6 , No. 1 , (2021) : 43-61 (Doi   :  https://doi.org/10.54216/FPA.060105).

Cite This Article

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Moreno, Alex Fabián S., Moreno, Jessica Johanna S., Maldonado, Paul Alejandro C., Yaman, Saziye. "Neutrosophic Sets in Investigating the Right to Genetic Information: A Study using Fuzzy Cognitive Maps and D-OWA." International Journal of Neutrosophic Science, vol. Volume 24, no. Issue 1, 2024, pp. 269-280. DOI: https://doi.org/10.54216/IJNS.240124
Moreno, A., Moreno, J., Maldonado, P., Yaman, S. (2024). Neutrosophic Sets in Investigating the Right to Genetic Information: A Study using Fuzzy Cognitive Maps and D-OWA. International Journal of Neutrosophic Science, Volume 24(Issue 1), 269-280. DOI: https://doi.org/10.54216/IJNS.240124
Moreno, Alex Fabián S., Moreno, Jessica Johanna S., Maldonado, Paul Alejandro C., Yaman, Saziye. "Neutrosophic Sets in Investigating the Right to Genetic Information: A Study using Fuzzy Cognitive Maps and D-OWA." International Journal of Neutrosophic Science Volume 24, no. Issue 1 (2024): 269-280. DOI: https://doi.org/10.54216/IJNS.240124
Moreno, A., Moreno, J., Maldonado, P., Yaman, S. (2024) 'Neutrosophic Sets in Investigating the Right to Genetic Information: A Study using Fuzzy Cognitive Maps and D-OWA', International Journal of Neutrosophic Science, Volume 24(Issue 1), pp. 269-280. DOI: https://doi.org/10.54216/IJNS.240124
Moreno A, Moreno J, Maldonado P, Yaman S. Neutrosophic Sets in Investigating the Right to Genetic Information: A Study using Fuzzy Cognitive Maps and D-OWA. International Journal of Neutrosophic Science. 2024;Volume 24(Issue 1):269-280. DOI: https://doi.org/10.54216/IJNS.240124
A. Moreno, J. Moreno, P. Maldonado, S. Yaman, "Neutrosophic Sets in Investigating the Right to Genetic Information: A Study using Fuzzy Cognitive Maps and D-OWA," International Journal of Neutrosophic Science, vol. Volume 24, no. Issue 1, pp. 269-280, 2024. DOI: https://doi.org/10.54216/IJNS.240124
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