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With the help of the Internet of Vehicles' technology, UBI car insurance premium determination has a certain guiding role in determining accurate pricing of freight vehicle insurance rates and meeting the individual needs of consumers. The MSNSSA-FCM algorithm's clustering center of the FCM algorithm is optimized by the MSNSSA-FCM algorithm, which uses the global optimization advantage of the MANSSA algorithm, is optimized, and then the sample weight and attribute weight are introduced to define the FCM clustering algorithm's objective function to improve clustering of the FCM algorithm's results. The empirical evidence shows that the UBI Freight Vehicle Car insurance rating software developed using the MSNSSA-FCM algorithm has reduced visual noise and reduced intra-cluster error variance.
Source link: https://europepmc.org/article/PPR/PPR545075
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