【摘要】 可公度信息系作为信息预测方法中的一种,主要用来研究物理体系中的特性,其难点在于可公度性数据的提取．采用可公度性作模进行数据划分,依据不同的频数值来提取数据．应用可公度信息性和信息有序性2种方法研究中国大陆8级以上地震和美国加利福尼亚州7级以上地震,得到相同预测值．研究结果表明,中国大陆8级以上地震序列和美国加利福尼亚州7级以上地震序列是有规律的．更多还原

【Abstract】 As a method of the information forecasting, commensurability information system was mainly ap-plied to studying system characteristics. The difficulty of commensurability information system is the pick-up of commensurable data. This paper adopted the commensurability as module for data partition, and extracted data by the different frequency. According to the commensurability and time order, the M≥8 earthquakes in Chinese Mainland and M≥7 earthquakes in California. The two methods reached the same goal by different routes. The results show that the series of M≥8 earthquakes in Chinese Mainland and M≥7 earthquakes in California are in a sense rather than fully stochastic.更多还原