IDEAS home Printed from https://ideas.repec.org/a/fzy/fuzeco/vxy2005i1p35-46.html
   My bibliography  Save this article

A Comparative Analysis Of The Forecasting Ability Of Classic Econometric And Fuzzy Models

Author

Listed:
  • Profillidis, V.
  • Botzoris, G.

    (Democritus University of Thrace)

Abstract

The present paper analyzes the accuracy of forecasting ability that can be reached by the use of fuzzy techniques in comparison to classic econometric models. Following a brief presentation of the fuzzy technique, a revue of existing methods and models for forecasting rail passenger demand is presented. Based on data of rail passenger demand of Greek Railways, the parameters affecting demand are defined with the use of the appropriate statistical controls. Using these para-meters, econometric and fuzzy models are developed. The forecasting ability of each model and the reduction of ambiguity are checked as well as their range and application conditions.

Suggested Citation

  • Profillidis, V. & Botzoris, G., 2005. "A Comparative Analysis Of The Forecasting Ability Of Classic Econometric And Fuzzy Models," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(1), pages 35-46, May.
  • Handle: RePEc:fzy:fuzeco:v:x:y:2005:i:1:p:35-46
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    demand; econometric; forecast; fuzzy; model; transportation planning;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fzy:fuzeco:v:x:y:2005:i:1:p:35-46. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Aurelio Fernandez). General contact details of provider: http://edirc.repec.org/data/sigefea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.