Mental Health Assessment Model for College Students Using Circular q-Rung Orthopair Fuzzy Muirhead Means and MULTIMOORA Method
This work investigates the enhanced MULTIMOORA technique using the circular q-rung orthopair fuzzy set (Cq-ROFS) for mental health assessment among college students. Recently, Cq-ROFS was proposed as the development of circular Pythagorean FSs (C-PFSs), circular intuitionistic FSs (C-IFSs), and circ...
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10891606/ |
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| Summary: | This work investigates the enhanced MULTIMOORA technique using the circular q-rung orthopair fuzzy set (Cq-ROFS) for mental health assessment among college students. Recently, Cq-ROFS was proposed as the development of circular Pythagorean FSs (C-PFSs), circular intuitionistic FSs (C-IFSs), and circular rung orthopair FSs (q-ROFSs). However, they are only considered for a few essential algebraic characteristics. In the present paper, we extend our investigation on circular q-ROFSs (Cq-ROFSs) within Muirhead mean aggregation operators (AOs) by incorporating additional algebraic law mathematical features. These include the circular q-rung orthopair fuzzy (Cq-ROF) weighted Muirhead mean (Cq-ROFWMM) and Cq-ROF dual weighted Muirhead mean (T-SFDWMM) aggregation operators (AOs). To compute the essential aspects, we apply the MULTIMOORA technique, incorporating the proposed operators for Cq-ROF numbers (Cq-ROFNs), enhancing the value and effectiveness of the evaluation process. Employing the proposed Cq-ROF MULTIMOORA model to select the best mental health treatment options based on different attributes such as student engagement, evidence-based effectiveness, and accessibility and inclusivity. The ranking results indicate that <inline-formula> <tex-math notation="LaTeX">$~{{\vert\!\!\!\mathrm {G}}}{_{1}}$ </tex-math></inline-formula> is the most effective treatment model, outperforming all other alternatives across the evaluation criteria. A real-world case study demonstrates the proposed method’s practical applicability and reliability in selecting optimal mental health strategies. Additionally, sensitivity analysis confirms the model’s stability, making it a valuable tool for evidence-driven mental health policy and intervention planning in educational settings. |
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| ISSN: | 2169-3536 |