A novel muirhead mean operators based decision algorithm with applications in the orientation of basketball players using circular q-rung orthopair fuzzy information

作者：Changyou Wang · 发表于：Scientific Reports · 年份：2025 · DOI：10.1038/s41598-025-99172-9 · 被引用次数：3 · 研究领域：Multi-Criteria Decision Making、Fuzzy Logic and Control Systems、Multidisciplinary Science and Engineering Research

Modern basketball players depend on decision-making techniques to enhance their position orientation and performance results. The way a player positions, together with their effectiveness and gameplay strategy, changes based on what they have learned and the amount of experience they have gained. A new intelligent decision-making model has been created to evaluate basketball player orientation while enhancing their performance through assessments. The proposed evaluation method uses an advanced decision algorithm based on circular q-rung orthopair fuzzy sets (Cq-ROFS), representing an evolved extension of fuzzy set theory to handle uncertain and complex data from player evaluation. This study introduced four innovative aggregation operators, which include circular q-rung orthopair fuzzy muirhead mean (Cq-ROFMM), circular q-rung orthopair fuzzy dual muirhead mean (Cq-ROFDMM), circular q-rung orthopair fuzzy weighted muirhead mean (Cq-ROFWMM) and circular q-rung orthopair fuzzy dual weighted muirhead mean (Cq-ROFDWMM). The decision-making accuracy improves when these operators maintain criterion relationships because they produce unbiased and dependable evaluations of player abilities and expertise. The development includes constructing key theoretical properties while creating a reliable multi-criteria decision-making (MCDM) algorithm that enables efficient computations. A case study of basketball player orientation implements the proposed methodology to prove its practical su...