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JFCM : A Java Library for FuzzyCognitive Maps

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Book cover Fuzzy Cognitive Maps for Applied Sciences and Engineering

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 54))

Abstract

Java Fuzzy Cognitive Maps (JFCM) [1] is an open source library by Dimitri De Franciscis [2] that implements fuzzy cognitive maps using the Java™  programming language. In this chapter we will introduce the library and its main features, along with many code examples and experiments that show how to effectively use it in your projects.

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Notes

  1. 1.

    Traditionally, this was implemented inserting additional intermediate concepts (and connections) between source and destination. In JFCM this has been optimized, it’s just a matter of setting an integer parameter. We’ll see how it works in a specific example.

  2. 2.

    Remember however that, since JFCM is simply a Java library, you can always use any other IDE (e.g. Netbeans, IntelliJ IDEA, vi, Emacs) and build tools (such as Ant or Maven). See JFCM website for more detailed examples on how to configure and use such tools.

References

  1. Java fuzzy cognitive maps website. http://jfcm.megadix.it/

  2. De Franciscis, D.: website. http://www.megadix.it/

  3. Kosko, B.: XI - fuzzy adaptive systems. In: Fuzzy Thinking: The New Science of Fuzzy Logic. Hyperion, New York (1993)

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  4. Cammarata, S.: Mappe concettuali fuzzy. Reti Neuronali - Dal Perceptron Alle Reti Caotiche e Neuro-Fuzzy, pp. 169–172. ETAS Libri, Milano (1990)

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  5. FCMappers.net website. http://www.fcmappers.net/

  6. Ochoa de Aspuru, G.: Fuzzy Cognitive Maps. http://www.ochoadeaspuru.com/fuzcogmap/index.php

  7. Pajek, program for large network analysis. http://vlado.fmf.uni-lj.si/pub/networks/pajek/

  8. Visone, analysis and visualization of social networks. http://visone.info/

  9. Eclipse IDE. http://www.eclipse.org/

  10. jFuzzyLogic, open source fuzzy logic library and FCL language implementation. http://jfuzzylogic.sourceforge.net/

  11. Papageorgiou, E., Stylios, C., Groumpos, P.: Fuzzy Cognitive Map Learning Based on Nonlinear Hebbian Rule. In: AI 2003: Advances in Artificial Intelligence. pp. 256–268. Springer-Verlag Berlin Heidelberg (2003)

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  12. Papageorgiou, E., Groumpos, P.: A Weight Adaptation Method for Fuzzy Cognitive Map Learning. J. Soft. Computing. 9, pp. 846–857. Springer-Verlag, Berlin (2003)

    Google Scholar 

  13. Papageorgiou, E., Stylios, C., Groumpos, P.: Unsupervised Learning Techniques for Fine-Tuning Fuzzy Cognitive Map Causal Links. J. Human-Computer Studies. 64, pp. 727–743 (2006)

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Author information

Authors and Affiliations

  1. Megadix, Freelance Java/CMS/Database consultant, Milano, Italy

    Dimitri De Franciscis

Authors
  1. Dimitri De Franciscis
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Corresponding author

Correspondence to Dimitri De Franciscis .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Technological Educational Institute of Central Greece, Lamia, Greece

    Elpiniki I. Papageorgiou

1 Electronic supplementary material

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Supplementary material 1 (zip 3,930 KB)

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De Franciscis, D. (2014). JFCM : A Java Library for FuzzyCognitive Maps. In: Papageorgiou, E. (eds) Fuzzy Cognitive Maps for Applied Sciences and Engineering. Intelligent Systems Reference Library, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39739-4_12

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  • DOI: https://doi.org/10.1007/978-3-642-39739-4_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39738-7

  • Online ISBN: 978-3-642-39739-4

  • eBook Packages: EngineeringEngineering (R0)

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