An integrated multi criteria decision making framework for hyperbolic fuzzy sets based on a robust logarithmic score function for enhanced healthcare decision support
Jul 2026· International Journal of Machine Learning and Cybernetics· Vol 17· 0 citations· 100 references
Computer Science
TL;DR
This paper presents a novel logarithm-based score function within the Hyperbolic Fuzzy Set context, employing hyperbolic geometry to enhance multi-attribute decision-making and highlights the credibility and practicality of the proposed approaches for addressing uncertainty in real-world scenarios.
Two fundamental aggregation operators, namely the interval-valued T-spherical hesitant fuzzy weighted averaging (IVTSHF-WA) and weighted geometric (IVTSHF-WG) operators, are proposed, and the power Heronian mean is extended to the IVTSHF environment, yielding the IVTSHF-WPHM and IVTSHF-WGPHM operators.
Shi-Bo Tang, Chuan-Yang Ruan, Lin Yan· Symmetry· 0 citations
The Inverse FSES combines the principles of inverse fuzzy sets and SES to model complex decision-making scenarios involving multiple experts to provide a mechanism to quantify, aggregate and interpret expert judgement with precision.
A decision-making framework integrating weighted neighborhood rough sets (WNRS) and threshold-based ordinal regression and a novel structural proximity operator is introduced, offering a new perspective for structure-enhanced decision-making within the framework from limited information space to ordered state.
Qiang Bao, Bing-Zhen Sun, Lun Guo et al.· International Journal of Mac...· 0 citations
Picture Fuzzy Sets (PiFSs) have appeared as an effective tool to tackle ambiguity in decision-making and offer greater flexibility than traditional extensions of Fuzzy Sets (FSs). Under the framework of evidence theory (ET), the concepts of belief and plausibility significantly boost the representative capacity of PiFS...
R. Hussain, Zahid Hussain, Mehboob Ali et al.· Entropy· 0 citations
The final outcomes reflect that the proposed approaches provide more reliable, stable, and flexible decision rankings by integrating the parameters tuples and interdependency among decisions attributes.
H. Qawaqneh, Abdallah Shihadeh, W. Salameh et al.· Scientific Reports· 0 citations
This research introduced neutrosophic Einstein weighted average and neutrosophic Einstein weighted geometric aggregation operators to enable nonlinear aggregation of uncertain decision information and provides a flexible mechanism for effectively integrating complex, periodic, and incomplete information in risk assessm...
Ali Asghar, Hafeez-ur Rehman, Xing-Yue Li· Algorithms· 0 citations
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