The study aims to improve the accuracy of group computing task value assignment in a big data environment,and pro-poses an adaptive fuzzy clustering-based task assignment strategy by comparing the random assignment algorithm with the topic-aware assignment algorithm.The results show that the accuracy of the new strategy is significantly higher than that of the random assignment algorithm on multiple datasets,from 52％to about 78％and 46％to 80％,respectively,and maintains a stable elapsed time.The al-location effect of the proposed adaptive fuzzy clustering-based big data value allocation algorithm is improved when the task size in-creases,shows better scalability,and provides a more reasonable and efficient solution in group computing task allocation.The re-search results can effectively improve the processing efficiency and accuracy of big data analysis and calculation tasks.
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