Research on evolution model of granular decision based on multiple time granularity

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (20): 117-120.

• 数据库、信号与信息处理 • Previous Articles Next Articles

Research on evolution model of granular decision based on multiple time granularity

HU Yuwen，XU Jiucheng，ZHANG Qianqian

College of Computer & Information Technology，Henan Normal University，Xinxiang，Henan 453007，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-07-11 Published:2011-07-11

多粒度时间序列下粒度决策的演化模型研究

胡玉文，徐久成，张倩倩

河南师范大学计算机与信息技术学院，河南新乡 453007

Abstract

Abstract: At present，most of the research applications of rough set theory remain in the field of static tables，but as the data in the real world is constantly increasing and updating，there are apparent limitation when dealing with the changing data.Multi-granularity time series is introduced in this paper based on the classical rough set theory.The relevance among decisions which are produced by each granule is studied and the relevant granular decision evolution model is built after the division of decision-making information system.Finally the feasibility of homologous evolution is formulated.

Key words: multiple granularity, time series, decision evolution, homologous evolution

摘要： 目前，粗糙集理论大多数的研究应用都停留在静态表的基础上，但在实际中决策信息表的数据是在不停的增加更新当中，静态的方法在处理不停增加和变换的数据时有着很明显的局限性。在经典粗糙集理论的基础上，引入多粒度时间序列，对决策信息系统划分后，研究各个粒所产生的决策间的相互关联性，建立相关的粒度决策演化模型，并通过实例验证同源演化的有效可行性。

关键词: 多粒度, 时间序列, 决策演化, 同源演化

HU Yuwen，XU Jiucheng，ZHANG Qianqian. Research on evolution model of granular decision based on multiple time granularity[J]. Computer Engineering and Applications, 2011, 47(20): 117-120.

胡玉文，徐久成，张倩倩. 多粒度时间序列下粒度决策的演化模型研究[J]. 计算机工程与应用, 2011, 47(20): 117-120.

[1]	LU Manjiao, ZHANG Wei, XU Tao. Optimal Replenishment Strategy Based on Dynamic Matrix Model [J]. Computer Engineering and Applications, 2021, 57(7): 263-268.
[2]	YAO Honggang, MU Nianguo. Prediction of Financial Time Series by EMD-LSTM Model [J]. Computer Engineering and Applications, 2021, 57(5): 239-244.
[3]	DING Zhihui, QIAO Gangzhu, CHENG Tan, SU Rong. Shapelets Transform Method Based on LSH [J]. Computer Engineering and Applications, 2021, 57(3): 112-119.
[4]	WU Minghui, HOU Lingyan, WANG Chao. Improved Mechanism of Prediction-Oriented Long Short-Term Memory Neural Network [J]. Computer Engineering and Applications, 2021, 57(21): 109-115.
[5]	CAO Wenchao, GAN Hongcheng. Early-Warning Model of Metro Station Passenger Flow Based on WiFi Data [J]. Computer Engineering and Applications, 2021, 57(13): 233-238.
[6]	MA Chenbin, ZHANG Zhengbo, WANG Jing. Review of Deep Learning Based Physiological Abnormality Detection Research [J]. Computer Engineering and Applications, 2021, 57(10): 10-25.
[7]	ZHAN Peng, CHEN Lin, CAO Luhui, XU Haoran, LI Xueqing. Time Series Anomaly Detection Based on Kernel Turning Points Clipped Representation [J]. Computer Engineering and Applications, 2020, 56(23): 130-138.
[8]	WANG Jian, MAO Liming, YIN Aijun. Multi-dimensional DTW Combined with Shape Feature and Context Information [J]. Computer Engineering and Applications, 2020, 56(22): 42-47.
[9]	JIN Nansen, LIU Meiling, GU Xinran, HAN Yutong. Double Parameter Convolution Theory Model for Traffic Time Prediction [J]. Computer Engineering and Applications, 2020, 56(20): 258-263.
[10]	YUAN Yaoyao, KANG Yan, LI Hao, NIU Ruicheng, LIANG Wentao, LI Jinyuan. Timing Traffic Flow Data Completion Based on ST-DCGAN [J]. Computer Engineering and Applications, 2020, 56(15): 140-146.
[11]	LI Chun, GAO Fei, WANG Huiqing. Improved Fruit Fly Optimization Algorithm for Optimizing Time Series Prediction Model of CIAO-LSTM Network [J]. Computer Engineering and Applications, 2020, 56(11): 129-134.
[12]	TAN Zhanglu, WANG Zhaogang, HU Han. Research on Trend Similarity Measurement Method of Time Series [J]. Computer Engineering and Applications, 2020, 56(10): 94-99.
[13]	ZOU Yan, CHEN Weijie. Decision-Making Model of Time Series Generalized Fuzzy Soft Sets Based on Extended GBM Operator [J]. Computer Engineering and Applications, 2019, 55(7): 53-57.
[14]	SANG Haifeng, TIAN Qiuyang. Rapid Action Recognition System for Human-Computer Interaction [J]. Computer Engineering and Applications, 2019, 55(6): 101-107.
[15]	WANG Kai, CHEN Danwei. Research on Algorithm of Dynamic Graph Anomaly Detection Based on LSTM [J]. Computer Engineering and Applications, 2019, 55(5): 76-82.

Research on evolution model of granular decision based on multiple time granularity

多粒度时间序列下粒度决策的演化模型研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics