Enhancing healthcare decision support systems with fuzzy mathematical models
S. Mohan Mahalakshmi Naidumohans@isquareit.edu.inDepartment of Electronics & Telecommunication International Institute of Information Technology (I²IT)Pune, Maharashtra, 411057, IndiaView full profile → , *Uma BhardwajCorresponding authorvc@niu.edu.inDepartment of Biotechnology and Microbiology Noida International UniversityGreater Noida, Uttar Pradesh, 203201, IndiaView full profile → , Naveen Tewarinavtewari@gmail.comSchool of Computing Graphic Era Hill University Bhimtal CampusSchool of Computing Graphic Era Hill University Bhimtal Campus Nainital, Uttrakhand, 263136, IndiaView full profile → , Anil Hingmireanil.hingmire@vcet.edu.inDepartment of Computer Engineering Vidyavardhini’s College of Engineering and TechnologyVasai, Maharashtra, 401202, IndiaView full profile → , Sarvar Iskandarov Baltabaevichsarvar.i@urdu.uzDepartment of Mathematical Analyze Urgench State UniversityDepartment of Mathematical Analyze Urgench State University Urgench city, 220100, Uzbekistan0009-0001-4998-5141View full profile → , Rina Suresh Patilrinapatil@gmail.comDepartment of Computer Technology Sanjivani K.B.P. PolytechnicKopargaon, Maharashtra, 423603, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Mar 2025
- Published Online:
- 18 Mar 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIM-2496
- Pages:
- 617–625
Abstract
Keywords
Subject Classifications
References
[1] W.-C. Chen, A.-X. Ngo, and H.-P. Chang, “Enhancing Decision-Making Processes in the Complex Landscape of the Taiwanese Electronics Manufacturing Industry through a Fuzzy MCDM Approach,” Mathematics, vol. 12, pp. 2094 (2024).
[2] Y. Ojo, O. A. Makinde, O. V. Babatunde, G. Babatunde, and S. Okeowo, “Evaluating AI-Driven Mental Health Solutions: A Hybrid Fuzzy Multi-Criteria Decision-Making Approach,” AI, vol. 6, pp. 14 (2025).
[3] D. Beimel and S. Albagli-Kim, “Enhancing Medical Decision Making: A Semantic Technology-Based Framework for Efficient Diagnosis Inference,” Mathematics, vol. 12, pp. 502 (2024).
[4] O. C. Omankwu, E. C. Osodeke, and V. I. Ubah, “Artificial Intelligence a Paradigm Shift in Healthcare Sector Past, Present and Future Prospects,” NIPES Journal of Science and Technology Research, vol. 5, pp. 201–211 (2023).
[5] N. H. Shehab and A. R. S. Juma, “On the fourth Hankel determinant introduced by using a new subclass,” Journal of Interdisciplinary Mathematics, vol. 28, no. 3-B, pp. 1043–1057 (2025).
[6] S. Graham, C. Depp, E. E. Lee, C. Nebeker, X. Tu, H.-C. Kim, and D. V. Jeste, “Artificial intelligence for mental health and mental illnesses: An overview,” Current Psychiatry Reports, vol. 21, pp. 116 (2019).
[7] S. Albagli-Kim and D. Beimel, “Knowledge Graph-Based Framework for Decision Making Process with Limited Interaction,” Mathematics, vol. 10, pp. 3981 (2022).
[8] S. M. Karve, P. P. Karande, R. N. Nalawade, and S. R. Garad, “A Comprehensive Review on IoT-Driven Polyhouse Farming: Innovations, Challenges, and Future Directions,” International Journal of Advanced Computer Engineering and Communication Technology (IJACECT), vol. 13, no. 2, pp. 43–51 (Mar. 2025).
[9] Q. Wang, Z. Mao, B. Wang, and L. Guo, “Knowledge graph embedding: A survey of approaches and applications,” IEEE Transactions on Knowledge and Data Engineering, vol. 29, pp. 2724–2743 (2020).
[10] E. Rajabi and S. Kafaie, “Knowledge graphs and explainable AI in healthcare,” Information, vol. 13, pp. 459 (2022).
[11] S. Bonner, I. P. Barrett, C. Ye, R. Swiers, O. Engkvist, C. T. Hoyt, and W. L. Hamilton, “Understanding the performance of knowledge graph embeddings in drug discovery,” Artificial Intelligence in the Life Sciences, vol. 2, pp. 100036 (2022).
[12] C. Deshpande, C. Ramtirthkar, T. A. Wani, V. K. Bhosale, M. Gulhane, and K. S. Kumar, “Topology and knot theory applications in quantum field theory,” Journal of Interdisciplinary Mathematics, vol. 28, no. 6, pp. 2281–2287 (2025), doi: 10.47974/JIM-2370.
[13] N. B. Pokale, P. Praveen, Y. Sood, V. Kumar, N. Vairaperumal, and V. K. Vijaya, “Exploring the integration of discrete mathematics and applied algebra in designing robust network architectures for IoT,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 29, no. 2-B, pp. 877–884 (2026), doi: 10.47974/JDMSC-2538.
[14] P. Sahane, M. Gulhane, N. Rakesh, S. M. M. Naidu, M. Grover, and V. Mahajan, “Evaluating lightweight encryption schemes for resource-constrained devices in wireless sensor networks,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 5-A, pp. 1803–1812 (2025), doi: 10.47974/JDMSC-2180.
[15] M. G. Dhote, B. M. Nanche, P. N. Mahalle, S. S. Ali, M. Gulhane, and V. S. Karwande, “Deep learning for optimized path planning in autonomous vehicles by integrating reinforcement learning with convolutional neural networks,” Journal of Information and Optimization Sciences, vol. 46, no. 4-B, pp. 1129–1139 (2025).




