Sharif University of Technology Scientia Iranica 1026-3098 28 1 2021 02 01 A novel grey object matrix incidence clustering model for panel data and its application 371 385 21466 10.24200/sci.2019.5122.1109 EN Y. Liu School of Business, Jiangnan University, Jiangsu Wuxi 214122, China J.-L. Du School of Business, Jiangnan University, Jiangsu Wuxi 214122, China J. Li School of Business, Jiangnan University, Jiangsu Wuxi 214122, China Journal Article 2017 09 04 In order to fully excavate the information contained in the multi-index panel data, one take decision objects as the research object, and the development state matrix and the development speed matrix of the decision objects are defined by considering the cross-section information and time information of the decision objects, and then the distances among the objects over the indexes are given. Based on grey incidence analysis, the absolute difference and relative difference between the measure value matrices are used to characterize and measure the close degree of the development state matrix and the development level matrix of the decision objects, so that the grey object matrix absolute incidence analysis model is established, and then according to the grey incidence degree between the objects, the objects can be clustered based on hierarchical clustering algorithm. Finally, a clustering problem of regional patent research and development (R&D) efficiency is used to verify the validity and rationality of the proposed model. https://scientiairanica.sharif.edu/article_21466_8e1e9fb0fada84048fb2b3bd1fab81a5.pdf