ArticleScientific reports2025
A novel muirhead mean operators based decision algorithm with applications in the orientation of basketball players using circular q-rung orthopair fuzzy information.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 success and demonstrates its ability to handle uncertainties. The proposed method outperforms existing techniques according to sensitivity and comparative analysis tests because it demonstrates robustness, flexibility, and enhanced decision-making precision. The proposed model demonstrates emerging value as an intelligent sports analytics tool and a broader MCDM applications solution.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.