Enhancing Healthcare Accessibility for Tuberculosis Prevention: A Bipolar Fuzzy ARAS Decision-Making Approach
| dc.authorscopusid | 57216156662 | |
| dc.authorscopusid | 58072572100 | |
| dc.authorscopusid | 56429445800 | |
| dc.authorscopusid | 55650282900 | |
| dc.authorscopusid | 60155541800 | |
| dc.authorscopusid | 60155620600 | |
| dc.authorscopusid | 59141140400 | |
| dc.contributor.author | Ezhilarasan, E. | |
| dc.contributor.author | Augustin, F. | |
| dc.contributor.author | Kalaiselvan, S. | |
| dc.contributor.author | Narayanamoorthy, S. | |
| dc.contributor.author | Samy, C.A. | |
| dc.contributor.author | Ranganathan, S. | |
| dc.contributor.author | Dhivya, S. | |
| dc.date.accessioned | 2025-11-15T14:59:08Z | |
| dc.date.available | 2025-11-15T14:59:08Z | |
| dc.date.issued | 2025 | |
| dc.department | Okan University | en_US |
| dc.department-temp | [Ezhilarasan] N., Department of Mathematics, Vellore Institute of Technology, Chennai, Chennai, India; [Augustin] Felix, Department of Mathematics, Vellore Institute of Technology, Chennai, Chennai, India; [Kalaiselvan] Samayan, Department of Social Work, SRMV Collge of Arts and Science, Coimbatore, India; [Narayanamoorthy] Samayan, Department of Mathematics, Bharathiar University, Coimbatore, India; [Samy] Christina Antony, Department of Mathematics, Bharathiar University, Coimbatore, India; [Ranganathan] Saraswathy, Department of Radiology, Karpagam Medical College and Hospital, Coimbatore, India; [Dhivya] Selvaraj, Department of Biochemistry, Post Graduate Institute of Child Health, Noida, India; [Ahmadian] Ali, Jadara University, Irbid, Jordan, Faculty of Engineering and Natural Sciences, Istanbul Okan University, Tuzla, Turkey | en_US |
| dc.description.abstract | Tuberculosis (TB) remains a significant global health issue, with the challenges of diagnosing, treating, and preventing it becoming even more complex and uncertain in the aftermath of COVID-19. The pandemic strained healthcare systems worldwide, redirecting resources and focus, which has not only delayed TB diagnosis and treatment but also present big uncertainty in managing the disease. Fuzzy logic, which manages uncertainty and imprecision, is especially useful for analyzing complex issues where precise data is hard to obtain. This study focuses on healthcare accessibility and infrastructure in TB prevention using the bipolar fuzzy ARAS method, which emphasize the utility degree of the ideal solution in positive and negative perspectives. Findings reveal that primary healthcare centers are most crucial as core facilities for initial TB diagnosis, treatment, and continuity of care. © 2025 Elsevier B.V., All rights reserved. | en_US |
| dc.identifier.doi | 10.1016/B978-0-443-33871-7.00015-5 | |
| dc.identifier.endpage | 327 | en_US |
| dc.identifier.isbn | 9780443338717 | |
| dc.identifier.isbn | 9780443338724 | |
| dc.identifier.scopus | 2-s2.0-105019728046 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 311 | en_US |
| dc.identifier.uri | https://doi.org/10.1016/B978-0-443-33871-7.00015-5 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14517/8542 | |
| dc.identifier.wosquality | N/A | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | ARAS Method | en_US |
| dc.subject | Bipolar Fuzzy Number | en_US |
| dc.subject | Bipolar Fuzzy Set | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | Data Science | en_US |
| dc.subject | Health System | en_US |
| dc.subject | Healthcare | en_US |
| dc.subject | Infectious Disease | en_US |
| dc.subject | Information Systems | en_US |
| dc.subject | Tuberculosis (TB) | en_US |
| dc.title | Enhancing Healthcare Accessibility for Tuberculosis Prevention: A Bipolar Fuzzy ARAS Decision-Making Approach | en_US |
| dc.type | Book Part | en_US |
| dspace.entity.type | Publication |