Big Data Clustering Algorithm of Internet of Things Based on Fuzzy Multi-objective Decision
The existing big data clustering algorithms of Internet of Things(IoT)are vulnerable to similarity at-tacks,and the clustering effect is poor.In order to improve the adaptive ability,an IoT big data clustering algo-rithm based on fuzzy multi-objective decision-making is proposed.Gradient descent method was selected for re-peated iteration to obtain the fuzzy confidence and support threshold of IoT events,and obtain the optimal fuzzy par-tition matrix by fuzzy C-means clustering algorithm;The target decision matrix was established,the target weight was determined,the ideal decision target and the negative ideal decision target were defined,and the final decision result was obtained so as to realize the effective clustering of IoT big data.A clustering experiment is conducted on the IoT big data platform of an electric power enterprise.The results show that the algorithm can effectively cluster the massive data in the IoT platform;The clustering results have high inter-cluster discrimination and correlation,and have high clustering agility.
fuzzy multi-objective decisionIoT big dataclustering algorithmmembership degreecorrelation features
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