Enterprise Management Performance Evaluation Model Using Improved Fuzzy Clustering Algorithm in IoT Networks

Enterprise core competence is closely related to enterprise management performance, and it important evaluate performance. However, the current performance evaluation model has problems of high eigenvalues sample data, low cumulative contribution correlation, error rate in calculation business index weights, accuracy, long time. Therefore, using improved fuzzy clustering algorithm Internet things (IoT) networks proposed. First, IoT architecture, system established by balanced scorecard theory. Second, reduced dimensionality combining principal component analysis kernel-independent analysis, C-mean based on objective function designed, finally, obtained establish model, input, results are output. The show that data eigenvalue this low. maximum weight 2.3%, accuracy always more than 95%, average value time 0.57 s, which effectively realize networks.