Similarity and nearness relational degree based on panel data

This paper firstly presents the projection method of the panel data, which is projected to space vector series. Based on the angle and distance of the space vector, this paper respectively constructs the similarity and nearness relational degree models based on the panel data. The angle of the vector is used to construct the similarity relational degree model based on the panel data. Meanwhile, the distance of the vector is used to set up the nearness relational degree model based on the panel data. The properties of two models, normalization and symmetry, are also discussed. Finally, an example is given to illustrate the rationality of the similarity and nearness relational models, which suggests that the proposed models can reflect the similarity and nearness relational degree of the panel data. © 2016, Editorial Office of Control and Decision. All right reserved.