Intelligent evaluation system based on high-order tensor rank reduction strategy

The invention provides an intelligent evaluation system based on a high-order tensor rank reduction strategy, and the system comprises a tensor obtaining module which is used for constructing a multi-dimensional subsystem according to a target intelligent manufacturing construction structure, and obtaining a current tensor for each dimensional subsystem; the matrix acquisition module is used for performing singular value decomposition on each current tensor to acquire a factor matrix of a corresponding dimension subsystem, and performing high-order singular value decomposition on all the current tensors in the same target intelligent manufacturing building structure to acquire a kernel tensor; the deleting module is used for deleting redundant information in the kernel tensor and redundant columns in the factor matrix by adopting a rank reduction strategy; and the evaluation module is used for evaluating the deletion result by the intelligent evaluation model and providing a basis for subsequent accurate and