The development of books and periodicals publishing in our country has forced a series of important turning points and adjustments since 2014.Books and periodicals publishing in our country is in an important transition period,with the background of industrial digitization and intellectualization especially.This study takes the statistical data from the National Bureau of Statistics as a sample,which is about the books and periodicals publishing during the past 15 years.Meanwhile,cloud drop processing was performed on the publication data of books and periodicals in various regions in China by building a cloud model.Three digital features of expectation,entropy,and super-entropy were obtained respectively by the two-dimensional normal inverse cloud algorithm.Then,the two-dimensional normal forward cloud map of books and periodicals publishing in each region was analyzed by a two-dimensional normal forward cloud generation algorithm of the cloud model.In addition,the overall development trend of national books and periodicals publishing was also analyzed in this study.Finally,the atomic concept(quantitative)which was represented by the digital characteristics of Chinese books and periodicals publishing statistical data,was transformed into a granular concept(qualitative)by using the cloud model.Which in turn,the current development trend of books and periodicals publishing in various regions of China was revealed.
books and periodicals publishingcloud modeldigital featuredevelopment trend
维普
万方数据
