doi: 10.7763/IJFCC.2015.V4.363
Analysis and Modeling of Time Series Based on Granular Computing
Min Tu
1
,
Yuanjian Zhang
2
,
Jianfeng Xu
2
,
Yu Li
2
- 1 Jiangxi Police College, Nanchang, 330100, China.
- 2 Nanchang University, Nanchang, 330047, China.
Abstract
Granular computing is an important theory in solving complicated problems. Currently, researches of granular computing on time series stress more on the design of algorithms, the modeling of time series using information granular is limited. This paper proposed a granular-based model called Temporal Information System (TIS) on time series by using equivalent relationship, which is an extension of granular computing. Major works in modeling include the granulation of time series, development of granular layer as well as the transition rules. The granular operation and its properties provide a novel method for further research on time series which are complicated and uncertain in real applications.
Keywords
- Granular computing
- time series
- temporal information system
- equivalent relationship
- granular operation
How to Cite
Min Tu, Yuanjian Zhang, Jianfeng Xu, and Yu Li, "Analysis and Modeling of Time Series Based on Granular Computing," International Journal of Future Computer and Communication, vol. 4, no. 2, pp. 93-97, 2015. https://doi.org/ 10.7763/IJFCC.2015.V4.363
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).