• DocumentCode
    2380466
  • Title

    System forecast using a case-based reasoning methodology

  • Author

    Rocha, Guilherme Conceição ; Kienitz, Karl Heinz

  • Author_Institution
    Eng. Dept., Konatus Solucoes Inteligentes Ltda., São José dos Campos, Brazil
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    1574
  • Lastpage
    1579
  • Abstract
    This paper describes a case-based reasoning methodology for system forecast. For this purpose, a system condition function is defined, a time series is built and split in different scenarios, and a progression model for each scenario is determined. The forecast model for the last scenario is determined by merging the closest past scenario forecast model and the current scenario progression model.
  • Keywords
    case-based reasoning; economic forecasting; forecasting theory; time series; case-based reasoning methodology; closest past scenario forecast model; condition function; progression model; system forecast model; time series; Cognition; Indexes; Predictive models; Random variables; Time series analysis; Vectors; Case-Based Reasoning; Computacional Inteligence; Forecast; Time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6083895
  • Filename
    6083895
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2380466