Neutrosophic TOPSIS-OWA framework for evaluating data protection strategies in judicial systems
This study presents a novel neutrosophic multi-criteria decision-making approach, combining the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Ordered Weighted Averaging (OWA) methods, to assess data protection strategies for procedural fairness in judicial systems. R...
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| Format: | Article |
| Language: | English |
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Ayandegan Institute of Higher Education,
2024-11-01
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| Series: | Journal of Fuzzy Extension and Applications |
| Subjects: | |
| Online Access: | https://www.journal-fea.com/article_209202_0d5fc09c29d0f4965c33a4141ce12e3b.pdf |
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| _version_ | 1832577798628179968 |
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| author | Luis Ramiro Ayala Ayala Eduardo Luciano Hernández Ramos Sebastián Alejandro Contento Correa |
| author_facet | Luis Ramiro Ayala Ayala Eduardo Luciano Hernández Ramos Sebastián Alejandro Contento Correa |
| author_sort | Luis Ramiro Ayala Ayala |
| collection | DOAJ |
| description | This study presents a novel neutrosophic multi-criteria decision-making approach, combining the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Ordered Weighted Averaging (OWA) methods, to assess data protection strategies for procedural fairness in judicial systems. Recognizing the challenges posed by ambiguity and subjectivity in judicial data handling, the proposed neutrosophic TOPSIS-OWA framework effectively incorporates uncertainty into the evaluation process. The methodology integrates insights from an extensive literature review and expert panel consultations to identify and prioritize feasible data protection measures. Four primary alternatives were evaluated: a certification system, periodic compliance audits, mandatory training for judicial staff, and the establishment of an independent supervisory body. Results indicate that implementing a periodic audit system aligns most closely with the procedural fairness objectives, offering the best balance of data protection effectiveness, regulatory compliance, and stakeholder acceptance. This finding underscores the value of neutrosophic logic in complex decision-making contexts, particularly where nuanced judgments are essential. Future research could extend this framework to other domains where procedural fairness and data integrity are critical. |
| format | Article |
| id | doaj-art-2dd47c7660254cd5b542a41942bfcc57 |
| institution | Kabale University |
| issn | 2783-1442 2717-3453 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Ayandegan Institute of Higher Education, |
| record_format | Article |
| series | Journal of Fuzzy Extension and Applications |
| spelling | doaj-art-2dd47c7660254cd5b542a41942bfcc572025-01-30T15:07:23ZengAyandegan Institute of Higher Education,Journal of Fuzzy Extension and Applications2783-14422717-34532024-11-015Special Issue11110.22105/jfea.2024.468198.1545209202Neutrosophic TOPSIS-OWA framework for evaluating data protection strategies in judicial systemsLuis Ramiro Ayala Ayala0Eduardo Luciano Hernández Ramos1Sebastián Alejandro Contento Correa2Regional Autonomous University of the Andes, Riobamba, Ecuador.Regional Autonomous University of the Andes, Riobamba, Ecuador.Regional Autonomous University of the Andes, Riobamba, Ecuador.This study presents a novel neutrosophic multi-criteria decision-making approach, combining the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Ordered Weighted Averaging (OWA) methods, to assess data protection strategies for procedural fairness in judicial systems. Recognizing the challenges posed by ambiguity and subjectivity in judicial data handling, the proposed neutrosophic TOPSIS-OWA framework effectively incorporates uncertainty into the evaluation process. The methodology integrates insights from an extensive literature review and expert panel consultations to identify and prioritize feasible data protection measures. Four primary alternatives were evaluated: a certification system, periodic compliance audits, mandatory training for judicial staff, and the establishment of an independent supervisory body. Results indicate that implementing a periodic audit system aligns most closely with the procedural fairness objectives, offering the best balance of data protection effectiveness, regulatory compliance, and stakeholder acceptance. This finding underscores the value of neutrosophic logic in complex decision-making contexts, particularly where nuanced judgments are essential. Future research could extend this framework to other domains where procedural fairness and data integrity are critical.https://www.journal-fea.com/article_209202_0d5fc09c29d0f4965c33a4141ce12e3b.pdfdata protectionprocedural fairnessneutrosophic logictopsisowajudicial systems |
| spellingShingle | Luis Ramiro Ayala Ayala Eduardo Luciano Hernández Ramos Sebastián Alejandro Contento Correa Neutrosophic TOPSIS-OWA framework for evaluating data protection strategies in judicial systems Journal of Fuzzy Extension and Applications data protection procedural fairness neutrosophic logic topsis owa judicial systems |
| title | Neutrosophic TOPSIS-OWA framework for evaluating data protection strategies in judicial systems |
| title_full | Neutrosophic TOPSIS-OWA framework for evaluating data protection strategies in judicial systems |
| title_fullStr | Neutrosophic TOPSIS-OWA framework for evaluating data protection strategies in judicial systems |
| title_full_unstemmed | Neutrosophic TOPSIS-OWA framework for evaluating data protection strategies in judicial systems |
| title_short | Neutrosophic TOPSIS-OWA framework for evaluating data protection strategies in judicial systems |
| title_sort | neutrosophic topsis owa framework for evaluating data protection strategies in judicial systems |
| topic | data protection procedural fairness neutrosophic logic topsis owa judicial systems |
| url | https://www.journal-fea.com/article_209202_0d5fc09c29d0f4965c33a4141ce12e3b.pdf |
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