Special Sessions organized by IRAFM

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IFSA-EUSFLAT 2015

 

Computational Intelligence in Forecasting

Organizers: Martin Stepnicka, Michal Burda, Paulo Cortez and Juan Peralta Donate

 

Time Series Foreacsting Competition and the Related Special Session

http://irafm.osu.cz/cif/

 

Venue: Gijon, Spain
Date: June 30 – July 3, 2015
Submission of forecasts: January 11, 2015
Submission of papers deadline: January 16, 2015

Topics of the special session (suggested but not limited to):

  • CI (fuzzy, NN, SVM, evolutionary, hybrid etc.) models for time series predictions
  • time series feature extraction using CI models,
  • robustness of forecasting models,
  • linguistic aspects of time series analysis,
  • time series trend extraction and the related trend models,
  • time series classification and segmentation,
  • forecasting of multivariate time series using CI models,
  • forecasting of events and quantities not related to time series.

Forecasting problem of the competition:
Forecast a dataset of given time series from distinct domains as accurately as possible, using methods from the computational intelligence area and applying a consistent methodology. The data consists of time series with different time frequencies that include yearly, quarterly and monthly data.

Methods:
The prediction competition is open to all methods of computational intelligence, incl. fuzzy method, artificial neural networks, evolutionary algorithms, decision & regression tress, support vector machines, hybrid approaches etc. used in all areas of forecasting, prediction & time series analysis, etc. Ensemble techniques are also allowed, if they employ any CI method. The contestants will use a unique consistent methodology for all the time series.

Information for Contestants:

  1. <a=href=”http: irafm.osu.cz=”” cif=”” main.php”=”” target=”blank”>Information on the competition and ther special session
  2. Donwload the time series data.
  3. Forecast the time series using your method.
  4. Submit your forecasts and accompany them with a short description of the paper (if you do not submit a paper to IFSA-EUSFLAT).
  5. Select the Special Session name in the submission system.

Information for Authors:

  1. <a=href=”http: irafm.osu.cz=”” cif=”” main.php”=”” target=”blank”>Information on the competition and the special session
  2. Information on the conference.
  3. Papers should be submitted via the IFSA-EUSFLAT 2015 paper submission site.
  4. Select the Special Session name in the submission system.

FUZZ-IEEE 2014

Time series: Advanced methods of analysis and forecast

Organizers: Irina Perfilievaa), Nadezhda Yarushkinab), Jin Hee Yoonc) and Morteza Saberid)
a)Institute for Research and Applications of Fuzzy Modeling, University of Ostrava
30 dubna 22, 701 03 Ostrava 1, Czech Republic
Email: irina.perfilieva@osu.cz
b)Inf Systems. Dept., Ulyanovsk Technical State University, Russia
Email: jng@ulstu.ru
c)Math Dept., Yonsei University, Seoul, South Korea
Email: jin9135@yonsei.ac.kr
d)Department of Industrial Engineering, University of Tafresh, Iran
Email: m.saberi@engmail.ut.ac.ir

Venue: Beijing, China
Date: July 6-11, 2014
Submission deadline: December 20, 2013

Aims and scope:
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.

Information for Authors:

    1. Information on the format and templates for papers.
    2. Papers should be submitted via the IJCNN 2014 paper submission site.
    3. 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 ofDecember 20, 2013.

EUSFLAT 2013

Fuzzy transform and its applications

      Organizers:

Irina Perfilieva and Petra Hoďáková

      Venue:

Milano, Italy

      Date:

September 11-13, 2013

      Submission deadline:

March 1, 2013

      Contact email:

Irina.Perfilieva@osu.cz or Petra.Hodakova@osu.cz

Abstract:

      The original motivation for the fuzzy (F-) transform came from fuzzy modeling. It is a universal mathematical method that replaces modeling with fuzzy IF-THEN rules by a specific transformation. This makes it possible to join the success of fuzzy modeling with the success of classical transforms (Fourier, Laplace, integral, wavelet etc.) and to take the best of each. From this point of view, fuzzy transform contributes to the theory of fuzzy modeling as well as to the theory of integral/discrete transforms. We distinguish the zero and higher-order F-transforms. Each of them has specific applications. Most applications of the F-transform are realized in data and image processing: time series analysis and forecasting, image fusion, compression, reduction, magnification and reconstruction are their successful examples. There are also applications to numerical methods such as numerical solution of differential equations, etc. The first degree F-transform has been successfully used in, e.g., edge detection. The aim of this special session is to present recent developments and trends in fuzzy transform. We expect that this special session will collect the fundamental and theoretical results, show other than above mentioned applications and overview the existing ones. We invite contributions that are focused on (but not limited to) the following topics:

      • basic theory of the F-transform, both zero as well as a higher degree one,
      • fuzzy partition in connection with the F-transform,
      • enhancement of existing applications,
      • presentation of new applications,
      • comparison of the F-transform with other fuzzy modelling techniques,
      • fundamental philosophical issues of fuzzy modelling in relation to the F-transform.
      We would be very pleased and honored if you accept our invitation for this session and prepare your contribution.

Please feel free to extend this invitation to colleagues of yours that might be interested as well.

FUZZ-IEEE 2013

Special Session S22: Fuzzy reasoning, functions and approximations

      Organizers:

Jiří Kupka, Irina Perfilieva and Martin Štěpnička

      Venue:

Hyderabad, India

      Date:

July 7-10,2013

      Submission deadline:

January 5, 2013

      Contact email:

Jiri.Kupka@osu.cz

Abstract:

        The aim of this special session is to bring together researchers who study modern fuzzy methods carrying the idea “similar inputs imply similar outputs”. This idea is a common feature of many branches of fuzzy mathematics, such as

        • fuzzy approximation,
        • theory of fuzzy functions,
        • fuzzy inference systems,
        • similarities and fuzzy implications,
        • F-transform based techniques,
        • fuzzy logical programming,
        • functional approach to similarity-based reasoning, etc.,

and is successfully used in various applications, for instance in data analysis, decision making support systems, image processing, control systems and others. Within this special session we would like to exchange latest ideas on trends, developments and also applications prepared especially (but not only) in topics mentioned above. Related topics are also welcome. We would be very pleased and honored if you accept our invitation for this session and prepare your contribution.

Please feel free to extend this invitation to colleagues of yours that might be interested as well.

IPMU 2010

Soft Computing: Where Theory Meets Application

      Organizers:

Vilém Novák and Irina Perfilieva

IEEE WCCI 2010

Computational Intelligence in Forecasting (S093)

      Organizers:

Martin Štěpnička, Juan Peralta Donate (Carlos III University, Madrid), Sven Crone (Lancaster University, UK)

FSTA 2010 Conference

Fuzzy Modelling and Applications

      Organizers:

Irina Perfilieva, Martin Štěpnička

IFSA World Congress/EUSFLAT Conference 2009

1. Fuzzy Transforms, Time Series and Other Applications

      Organizers:

Irina Perfilieva, Vilem Novak, Nadezhda Yarushkina

2. Fuzzy Relation Equations, Fuzzy Interpolation and Their Applications

      Organizers:

Irina Perfilieva, Martin Štěpnička

 

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