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作 者:杨志和[1] YANG Zhihe(School of Information Management,Heilongjiang University,Harbin 150080,China)
出 处:《北京印刷学院学报》2024年第4期31-37,共7页Journal of Beijing Institute of Graphic Communication
基 金:2020年度黑龙江省省属高等学校基本科研业务费科研项目(2020-KYYWF-0962)研究成果。
摘 要:自2014年起,我国书刊出版发展被迫面临一系列转折和调整。特别是在当前的产业数字化、智能化背景下,我国书刊出版产业发展正处于关键转型阶段。为科学分析我国书刊出版发展规律,以过去15年间国家统计局统计数据为样本,应用云模型对国内各区域的书刊出版数据进行云滴化处理,借助二维正态逆向云算法分别求出相应期望、熵和超熵3个数字特征参数;然后,应用云模型的二维正态正向云发生算法分析出各区域书刊出版二维正态正向云图;此外,还构建了全国书刊出版整体二维正态正向云图。最终,利用云模型将我国书刊出版统计数据数字特征所表示的原子概念(定量)转化为粒度概念(定性),进而揭示当前我国各区域的书刊出版发展态势。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 twodimensional 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.
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