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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2001: Engineering of Intelligent Systems pp 333–338Cite as

A Fuzzy Cognitive Map Based on the Random Neural Model

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2070))

Abstract

A fuzzy cognitive map is a graphical means of representing arbitrarily complex models of interrelations between concepts. The purpose of this paper is to describe a fuzzy cognitive map based on the random neural network model called the random fuzzy cognitive map, and to illustrate its application in the modeling of process. This model is based on the probability of activation of the neurons/concepts in the network. Our model carries out inferences via numerical calculation instead of symbolic deduction.

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References

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Author information

Authors and Affiliations

  1. CEMISID, Dpto. de Computación, Universidad de los Andes, Facultad de Ingeniería, Av. Tulio Febres, Mérida, 5101, Venezuela

    Jose Aguilar

Authors
  1. Jose Aguilar
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Editor information

Editors and Affiliations

  1. Hungarian Academy of Sciences, Intelligent Manufacturing and Business Processes Computer and Automation Research Institute, Kende utca 13-17, 1111, Budapest, Hungary

    László Monostori  & József Váncza  & 

  2. Department of Computer Science 601 University Drive, Southwest Texas State University, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

Aguilar, J. (2001). A Fuzzy Cognitive Map Based on the Random Neural Model. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_37

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  • DOI: https://doi.org/10.1007/3-540-45517-5_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

  • eBook Packages: Springer Book Archive

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