ArticleScientific reports2025
Circular intuitionistic fuzzy Hamacher aggregation operators for multi-attribute decision-making.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- A decision making algorithm for enhancing consumer value in purchasing behavior based on circular spherical fuzzy CRITIC WASPAS method.Scientific reports · 2026Article
- A robust decision making algorithm for handling uncertainty in career planning via a circular intuitionistic fuzzy SWARA WASPAS method.Scientific reports · 2026Article
- A decision making algorithm for economic growth in the digital economy using CRITIC WASPAS based circular picture fuzzy information.Scientific reports · 2025Article
- Assessment of management accounting information using decision algorithm with prioritized weights in circular fermatean fuzzy CRITIC WASPAS model.Scientific reports · 2025Article
- A novel aggregation framework based on complex n,m-rung orthopair fuzzy aczel-alsina operators for renewable energy decision-making.Scientific reports · 2025Article
- Multi-experts decision support system for recycling of waste material using some circular pythagorean fuzzy Muirhead means.Scientific reports · 2025Article
- Advancement in real time football analysis using fuzzy based decision-making of the WASPAS method.Scientific reports · 2025Article
- Investigation of physical education classroom teaching using AHP with IV-CIFS-based aggregation operators.Scientific reports · 2025Article
- Impact of massive open online courses in higher education using machine learning and decision based fuzzy frank power aggregation operators models.Scientific reports · 2025Article
- WASPAS-based multi-expert decision algorithm for physical education using circular pythagorean fuzzy aggregation with prioritized weights.Scientific reports · 2025Article
- Graduate students and supervisors matching decision-making considering stability-based fairness based on TOPSIS and grey correlation degrees.Scientific reports · 2025Article
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4 authors.
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Abstract
Decision-making in uncertain and imprecise environments often requires robust mathematical frameworks capable of effectively representing and aggregating conflicting information. Circular Intuitionistic Fuzzy Sets (C-IFSs) are powerful tools for modeling such complexities by combining intuitionistic and cubic fuzzy set properties. In this study, we extend the applicability of C-IFSs by integrating them with the Hamacher operational framework, offering a more flexible and adaptive approach to aggregation. To this end, we propose six novel aggregation operators: Circular Intuitionistic Fuzzy Hamacher Weighted Average (CIFHWA), Circular Intuitionistic Fuzzy Hamacher Ordered Weighted Average (CIFHOWA), Circular Intuitionistic Fuzzy Hamacher Hybrid Weighted Average (CIFHHWA), Circular Intuitionistic Fuzzy Hamacher Weighted Geometric (CIFHWG), Circular Intuitionistic Fuzzy Hamacher Ordered Weighted Geometric (CIFHOWG), and Circular Intuitionistic Fuzzy Hamacher Hybrid Weighted Geometric (CIFHHWG). These operators are designed to address multi-criteria decision-making challenges with improved precision. We further develop score and accuracy functions to rank C-IFSs and propose a neural-based scheme employing cubic correlation coefficients to enhance computational efficiency. A detailed numerical example validates the framework's effectiveness, illustrating its practical utility. Additionally, comparative analyses with existing techniques and sensitivity and robustness examinations demonstrate its superiority in handling complex decision-making scenarios. The findings underscore the advantages of using Hamacher-based operations with C-IFSs, offering a novel contribution to fuzzy decision-making and opening avenues for future research in uncertain data analysis.
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