For a long time, time series processing was the prerogative of statistics. This tradition was broken with the emergence of such modern methods of data analysis as neural networks, fuzzy sets, rough sets, etc. These non-statistical methods are especially useful in the cases when time series are short and/or cannot be characterized as stochastic processes, i.e., time series observations are vague and do not show regular behavior. Typical examples are financial and medical time series.
The aim of this special session is to present recent developments and trends in time series analysis and forecasting including fuzzy time series and granular time series. We are aware that representation and processing of time series are tighty connected. We invite contributions that extend traditional ways of modeling time series and propose adequate methods for their processing. A special focus will be made on processing and forecasting of multi-variate time series.
We expect that this special session will collect fundamental and theoretical results, show other than the approaches mentioned above and overview the existing ones.
We invite contributions focused on (but not limited to) the following topics:
- time series trends, tendencies and their models,
- fuzzy time series, granular time series and their models,
- time series classification and forecast,
- forecasting methods: regression, fuzzy regression, fuzzy/linguistic IF-THEN rules,
- forecasting of multi-variate time series,
- F-transform and fuzzy natural logic in time series analysis and forecast,
- special classes of time series.
Irina Perfilieva a), Nadezhda Yarushkina b), Jin Hee Yoon c), Morteza Saberi d)
a)Institute for Research and Applications of Fuzzy Modeling, University of Ostrava
30 dubna 22, 701 03 Ostrava 1, Czech Republic
b)Inf Systems. Dept., Ulyanovsk Technical State University, Russia
c)Math Dept., Yonsei University, Seoul, South Korea
d)Department of Industrial Engineering, University of Tafresh, Iran
The deadline for submissions to this special session is 20 December 2013.
Information for Authors
1) Information on the format and templates for papers can be found here:
2) Papers should be submitted via the IJCNN 2014 paper submission site:
Select the Special Session name in the Main Research topic dropdown list
4) Fill out the input fields, upload the PDF file of your paper and finalize your submission by the deadline of December 20, 2013