Skip to main content
SpringerLink
Log in

Optimization and Adaptation of Dynamic Models of Fuzzy Relational Cognitive Maps

  • Conference paper
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6743))

Abstract

The article is devoted to the analysis of dynamic models of fuzzy relational cognitive maps. Therefore, the selection process was analyzed, in a way of optimal (in some sense) parameters of these models, in particular such quantities as linguistic variables and fuzzy relations. Two-stage approach was applied to the optimization issue, composed of conditional optimization and adaptation. Certain results of simulation research concerning the designed method were also adduced.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Borisov, V.V., Kruglow, V.V., Fedulov, A.C.: Fuzzy Models and Networks. Publishing house Telekom, Moscow, Russia (2004) (in Russian)

    Google Scholar 

  2. Kandasamy, W.B.V., Smarandache, F.: Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps, Xiquan, Phoenix, AZ, USA (2003)

    Google Scholar 

  3. Kosko, B.: Fuzzy cognitive maps. Int. Journal of man-Machine Studies 24, 65–75 (1986)

    Article  MATH  Google Scholar 

  4. Papageorgiou, E.I., Stylios, C.D.: Fuzzy Cognitive Maps. In: Pedrycz, W., Skowron, A., Kreinovich, V. (eds.) Handbook of Granular Computing. John Wiley & Son Ltd, Publication Atrium, Chichester, England (2008)

    Google Scholar 

  5. Piegat, A.: Fuzzy Modelling and Control. Physica-Verlag, Springer-Verlag Company, Heidelberg (2001)

    Book  MATH  Google Scholar 

  6. Słoń, G.: Analysis of Selected Adaptation Algorithms for Relations in Fuzzy Cognitive Maps. Measurement Automation and Monitoring 56(12), 1445–1448 (2010) (in Polish)

    Google Scholar 

  7. Stach, W., Kurgan, L., Pedrycz, W., Reformat, M.: Genetic Learning of Fuzzy Cognitive Maps. Fuzzy Sets and Systems 153, 371–401 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  8. Yastrebov, A., Słoń, G.: Fuzzy Cognitive Maps in Relational Modelling Monitoring Systems. In: Kowalczuk Z. (red.) Systems for Faults Detection, Analysis and Toleration. PWNT, Gdańsk, Poland 2009, pp. 217-224 (in Polish)

    Google Scholar 

  9. Yastrebov, A., Słoń, G.: Granular Calculations in Modeling Imprecise Objects Using Relational Fuzzy Cognitive Maps. Measurement Automation and Monitoring 56(12), 1449–1452 (2010) (in Polish)

    Google Scholar 

  10. Yastrebov, A., Słoń, G.: Synthesis and Computational Analysis of Intelligent Models Based on Cognitive Maps – Part I. Synthesis. In: Yasrebov, A. (ed.) Computer Science at XXI Century Time. Information Technologies and Their Applications, pp. 77–86. Science Publishing House of Exploitation Technology Institute – State Research Institute, Radom (2010) (in Polish)

    Google Scholar 

  11. Yastrebov, A., Słoń, G.: Synthesis and Computational Analysis of Intelligent Models Based on Cognitive Maps – Part II. Analysis. In: Yastrebov, A. (ed.) Computer Science at XXI Century Time. Information Technologies and Their Applications, pp. 77–86. Science Publishing House of Exploitation Technology Institute – State Research Institute, Radom (2010) (in Polish)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Kielce University of Technology, al. Tysiąclecia P. P. 7, 25-314, Kielce, Poland

    Grzegorz Słoń & Alexander Yastrebov

Authors
  1. Grzegorz Słoń
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alexander Yastrebov
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. State University Higher School of Economics, Pokrovskiy Bd. 11, 109028, Moscow, Russia

    Sergei O. Kuznetsov

  2. Institute of Mathematics, University of Warsaw, ul. Banacha 2, 02-097, Warsaw, Poland

    Dominik Ślęzak

  3. Department of Computer Science, University of Regina, 3737 Wascana Parkway, S4S 0A2, Regina, SK, Canada

    Daryl H. Hepting

  4. Birbeck University of London, Malet Street, WC1E 7HX, London, UK

    Boris G. Mirkin

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Słoń, G., Yastrebov, A. (2011). Optimization and Adaptation of Dynamic Models of Fuzzy Relational Cognitive Maps. In: Kuznetsov, S.O., Ślęzak, D., Hepting, D.H., Mirkin, B.G. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2011. Lecture Notes in Computer Science(), vol 6743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21881-1_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21881-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21880-4

  • Online ISBN: 978-3-642-21881-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation