 Accuracy evaluation method of sports bracelet monitoring based on grey comprehensive clusteringRuyun Zou International Journal of Product Development, 2022, vol. 26, issue 1/2/3/4, 230-241 Abstract: In order to improve the accuracy and timeliness of evaluation results, this paper designed an accuracy evaluation method of sports bracelet monitoring based on grey comprehensive clustering. Firstly, the iterative algorithm is used to process the sports bracelet data to avoid the loss or abnormality of data affecting the quality of evaluation results and evaluation time. Then, a fuzzy comprehensive evaluation model is established to reflect the prominent influence of different evaluation indexes, and the relative membership degree of evaluation indexes is calculated. Finally, grey comprehensive clustering algorithm is used to optimise the fuzzy comprehensive evaluation model to complete the evaluation of the monitoring accuracy of the sports bracelet. Experimental results show that the maximum accuracy of this method can reach 83%, the minimum time is only 0.8 s, and the amount of data effectively processed reaches more than 1600 MB, which proves that the design expectation is effectively realised. Keywords: grey comprehensive clustering; sports bracelet; monitoring accuracy; monitoring data; relative membership. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpdev:v:26:y:2022:i:1/2/3/4:p:230-241 Access Statistics for this article More articles in International Journal of Product Development from Inderscience Enterprises Ltd |
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