Analysis on Earthquake Precursory Anomalies Based on Two Direction S-rough Sets

被引:0
|
作者
Chen Xiuqiong [1 ]
Shi Kaiquan [2 ]
机构
[1] Sanming Coll, Dept Math & Comp Sci, Sanming 365004, Fujian, Peoples R China
[2] Shandong Univ, Sch Math, Jinan 250100, Peoples R China
关键词
earthquake precursor; earthquake consultation; two direction S-rough sets; element transfer;
D O I
10.1109/ISKE.2008.4731064
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To determine the main precursory anomalies from intricate earthquake precursors in given area is the important content of earthquake consultation. Based on the dynamic transfer characteristic of elements in S-rough sets theory, and the regional difference and precursory difference of earthquake precursory anomalies, an analytical algorithm of earthquake precursory anomalies based on two direction S-rough sets was proposed, which algorithm can determine the main observation items of earthquake precursory anomalies in given area, it also offers a reliable method for seismologists to estimate future earthquake situation correctly.
引用
收藏
页码:940 / +
页数:2
相关论文
共 50 条
  • [1] Function two direction S-rough sets method in image hiding
    Hu, Haiqing
    Zhang, Yong
    Shi, Kaiquan
    ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF CONTEMPORARY INTELLIGENT COMPUTING TECHNIQUES, 2007, 2 : 155 - +
  • [2] Knowledge rough recognition on assistant set of two direction S-rough sets and recognition model
    Hu, HQ
    Yin, SF
    Shi, KQ
    PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 1858 - 1863
  • [3] Water Bloom Precursor Analysis Based on Two Direction S-Rough Set
    Huyong Yan
    Guoyin Wang
    Di Wu
    Yu Huang
    Mingsheng Shang
    Jianjun Xu
    Kun Shan
    Xiaoyu Shi
    Jianhua Dong
    Lei Feng
    Botian Zhou
    Ye Yuan
    Yufei Zhao
    Water Resources Management, 2017, 31 : 1435 - 1456
  • [4] Water Bloom Precursor Analysis Based on Two Direction S-Rough Set
    Yan, Huyong
    Wang, Guoyin
    Wu, Di
    Huang, Yu
    Shang, Mingsheng
    Xu, Jianjun
    Shan, Kun
    Shi, Xiaoyu
    Dong, Jianhua
    Feng, Lei
    Zhou, Botian
    Yuan, Ye
    Zhao, Yufei
    WATER RESOURCES MANAGEMENT, 2017, 31 (05) : 1435 - 1456
  • [5] Function S-rough sets and two law forecast
    Fu Haiyan
    Shi Kaiquan
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2009, 20 (02) : 332 - 338
  • [6] Two Direction S-Rough Decision and Rough Decision Law Mining
    Huang, Shun-liang
    Shi, Kai-quan
    PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL IV, 2009, : 300 - +
  • [7] Function S-rough sets and two law forecast
    Fu Haiyan1
    2. School of Information Science and Technology
    Journal of Systems Engineering and Electronics, 2009, 20 (02) : 332 - 338
  • [8] Function one Direction S-rough Sets and F-decomposition of Image
    Qiu Yufeng
    Du Yingling
    Shi Kaiquan
    2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2, 2008, : 1043 - +
  • [9] S-rough sets and knowledge separation
    Shi Kaiquan 1
    2. School of Mathematics and System Sciences
    Journal of Systems Engineering and Electronics, 2005, (02) : 403 - 410
  • [10] Method of situation forecast based on function S-Rough sets
    Wang, Jing-Jing
    Shi, Kai-Quan
    Lei, Ying-Jie
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2007, 29 (02): : 214 - 216