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Nodes Selection Criteria for Fuzzy Cognitive Maps Designed to Model Time Series

  • Wladyslaw HomendaEmail author
  • Agnieszka Jastrzebska
  • Witold Pedrycz
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 323)

Abstract

The article introduces three concepts’ rejection/selection criteria for Fuzzy Cognitive Map-based method of time series modeling and prediction. Proposed criteria are named entropy index, membership index and global distance index. Concepts’ selection strategies facilitate Fuzzy Cognitive Map design procedure. Proposed criteria allow to simplify, otherwise very complex models, and achieve a reasonable balance between complexity and accuracy.

Keywords

Fuzzy Cognitive Maps FCM nodes evaluation FCM simplification 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Wladyslaw Homenda
    • 1
    Email author
  • Agnieszka Jastrzebska
    • 1
  • Witold Pedrycz
    • 2
    • 3
  1. 1.Faculty of Mathematics and Information ScienceWarsaw University of TechnologyWarsawPoland
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland
  3. 3.Department of Electrical & Computer EngineeringUniversity of AlbertaEdmontonCanada

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