IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/51378.html
   My bibliography  Save this paper

Optimization in Genetically Evolved Fuzzy Cognitive Maps Supporting Decision-Making: The Limit Cycle Case

Author

Listed:
  • ANDREOU, A.S.
  • MATEOU, N.H
  • Zombanakis, George A.

Abstract

This paper presents the dynamic behavior of a hybrid system comprising Fuzzy Cognitive Maps and Genetic Algorithms, and focuses on the behavior observed when the system reaches equilibrium at fixed points or limit cycle. More specifically, the present works examines the theoretical background of the equilibrium and limit cycle behaviors and proposes a defuzzification method to handle the latter case. The proposed method calculates the mean value of a limit cycle and uses this value in the defuzzification process along with a confidence rate, which indicates the reliability of the results.

Suggested Citation

  • ANDREOU, A.S. & MATEOU, N.H & Zombanakis, George A., 2004. "Optimization in Genetically Evolved Fuzzy Cognitive Maps Supporting Decision-Making: The Limit Cycle Case," MPRA Paper 51378, University Library of Munich, Germany, revised 01 Jan 2004.
  • Handle: RePEc:pra:mprapa:51378
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/51378/1/MPRA_paper_51378.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andreou, A. S. & Mateou, N. H. & Zombanakis, George A., 2003. "Crisis Management and Political Decision Making Using Genetically Evolved Fuzzy Cognitive Maps," MPRA Paper 51639, University Library of Munich, Germany, revised 14 Feb 2003.
    2. Andreou, A. S. & Mateou, N. H. & Zombanakis, George A., 2003. "Evolutionary Fuzzy Cognitive Maps: A Hybrid System for Crisis Management and Political Decision Making," MPRA Paper 51482, University Library of Munich, Germany, revised 12 Feb 2003.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bąk Iwona & Cheba Katarzyna, 2020. "Fuzzy Cognitive Maps and their Application in the Economic Sciences," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 24(3), pages 20-36, September.
    2. Andreou, Andreas S. & Mateou, Nicos H. & Zombanakis, George A., 2003. "The Cyprus Puzzle and the Greek – Turkish Arms Race," MPRA Paper 78749, University Library of Munich, Germany, revised 14 Jul 2003.
    3. Mateou, N. H. & Andreou, A. S. & Zombanakis, George A., 2004. "Fuzzification and Defuzzification Process in Genetically Evolved Fuzzy Cognitive Maps (GEFCMs)," MPRA Paper 51376, University Library of Munich, Germany, revised 01 Jun 2004.
    4. Magdalena Ziolo & Beata Zofia Filipiak & Iwona Bąk & Katarzyna Cheba, 2019. "How to Design More Sustainable Financial Systems: The Roles of Environmental, Social, and Governance Factors in the Decision-Making Process," Sustainability, MDPI, vol. 11(20), pages 1-34, October.
    5. Mateou, Nicos H. & Zombanakis, George A., 2009. "Fuzzy cognitive maps face the question of the Greek current account deficit sustainability," MPRA Paper 38574, University Library of Munich, Germany.

    More about this item

    Keywords

    Fuzzy Cognitive Maps; Optimisation;

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War

    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:pra:mprapa:51378. See general information about how to correct material in RePEc.

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.