Restricted accessResearch articleFirst published online 2026
A study on the decision-making method based on T-spherical linear Diophantine fuzzy power Muirhead operator for the evaluation of recycling technology of waste fabric detection
Recycling and reusing waste fabrics constitute a critical pathway to achieving resource recycling and environmental protection. To address the complexity and multiattribute characteristics inherent in selecting waste fabric treatment technologies, this study proposes a multiattribute group decision-making (MAGDM) approach based on T-spherical fuzzy sets (T-SFSs) and linear Diophantine fuzzy sets (LDFSs). By constructing the T-SLDFWPMM operator, the proposed approach effectively integrates the advantages of the Muirhead mean (MM) and power average (PA) operators, allowing for comprehensive consideration of attribute interrelationships and mitigating the influence of outliers. The hybrid weighting method that incorporates both subjective and objective attributes ensures a more balanced and rational allocation of weights. Finally, a systematic evaluation and analysis of waste fabric treatment technologies was performed. The results indicate that the proposed model effectively captures key characteristics of treatment technologies, optimizes attribute interactions, and evaluates the effects of parameter and weight fluctuations on decision outcomes, showing superior accuracy and stability compared with traditional methods. Moreover, it exhibits strong adaptability and flexibility, offering a novel and scientific approach to selecting waste fabric treatment technologies.
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