A New Method for Short Multivariate Fuzzy Time Series Based on Genetic Algorithm and Fuzzy Clustering
Forecasting activities play an important role in our daily life. In recent years, fuzzy time series (FTS) methods were developed to deal with forecasting problems. FTS attracted researchers because of its ability to predict the future values in some critical situations where most standard forecastin...
Saved in:
| Main Authors: | Kamal S. Selim, Gihan A. Elanany |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2013/494239 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Data-Adaptive Dynamic Time Warping-Based Multivariate Time Series Fuzzy Clustering
by: Qinglin Cai, et al.
Published: (2025-01-01) -
A Dynamic Fuzzy Cluster Algorithm for Time Series
by: Min Ji, et al.
Published: (2013-01-01) -
Study on Fuzzy-Clustering Methods in Fuzzy Time Series Forecasting with Application
by: Azher Abbas mohammad Ayad hammad, et al.
Published: (2023-02-01) -
Review of Multivariate Time Series Clustering Algorithms
by: ZHENG Desheng, SUN Hanming, WANG Liyuan, DUAN Yaoxin, LI Xiaoyu
Published: (2025-03-01) -
Fuzzy clustering method based on genetic algorithm in intrusion detection study
by: HUANG Min-ming LIN Bo-gang
Published: (2009-01-01)