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Adaptive Random Fuzzy Cognitive Maps

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Advances in Artificial Intelligence — IBERAMIA 2002 (IBERAMIA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2527))

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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 an adaptive fuzzy cognitive map based on the random neural network model. Previously, we have developed a random fuzzy cognitive map and illustrated its application in the modeling of processes. The adaptive fuzzy cognitive map changes its fuzzy causal web as causal patterns change and as experts update their causal knowledge. Our model carries out inferences via numerical calculation instead of symbolic deduction. We show how the adaptive random fuzzy cognitive map can reveal implications of models composed of dynamic processes.

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References

  1. Aguilar, J. Definition of an Energy Function for the Random Neural to solve Optimization Problems, Neural Networks, Vol. 11, Pergamo, (1998) 731–738.

    Article  Google Scholar 

  2. Aguilar, J. Learning Algorithm and Retrieval Process for the Multiple Classes Random Neural Network Model. Neural Processing Letters, Vol. 13, Kluwer Academic Publishers, (2001) 81–91.

    Article  MATH  Google Scholar 

  3. Aguilar, J. A Fuzzy Cognitive Map Based on the Random Neural Model. Lecture Notes in Artificial Intelligence, Vol. 2070, Springer-Verlag, (2001) 333–338.

    Google Scholar 

  4. Dickerson J., Kosko B. Virtual Worlds as Fuzzy Dynamic Systems. in Technology for Multimedia, (B. Sheu, editor), IEEE Press (1996).

    Google Scholar 

  5. Gelenbe E. Random neural networks with positive and negative signals and product form solution, Neural Computation, Vol. 1, (1989) 502–511.

    Article  Google Scholar 

  6. Gelenbe E. Theory of the random neural network model, Neural networks: Advances and Applications (E. Gelenbe editor), North-Holland, Pays-Bas (1991).

    Google Scholar 

  7. Kosko B. Fuzzy Cognitive Maps, Int. Journal of Man-Machine Studies, Vol. 24, (1986) 65–75.

    Article  MATH  Google Scholar 

  8. Kosko B., Dickerson J. Fuzzy virtual worlds. AI Expert, (1994) 25–31.

    Google Scholar 

  9. Kosko B. Fuzzy Engineering, Prentice-Hall, New Jersey (1999).

    Google Scholar 

  10. Miao Y., Liu C. On causal inference in Fuzzy Cognitive Map, IEEE Transaction on Fuzzy Systems, Vol. 8, (2000) 107–120.

    Article  Google Scholar 

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Author information

Authors and Affiliations

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

    Jose Aguilar

Authors
  1. Jose Aguilar
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Editor information

Editors and Affiliations

  1. Telefónica Investigación y Desarrollo, Emilio Vargas 6, 28043, Madrid, Spain

    Francisco J. Garijo

  2. Dpto. Lenguajes y Sistemas Informáticos, Universidad de Sevilla, ETS Ingeniería Informática, 41012, Seville, Spain

    José C. Riquelme  & Miguel Toro  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Aguilar, J. (2002). Adaptive Random Fuzzy Cognitive Maps. In: Garijo, F.J., Riquelme, J.C., Toro, M. (eds) Advances in Artificial Intelligence — IBERAMIA 2002. IBERAMIA 2002. Lecture Notes in Computer Science(), vol 2527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36131-6_41

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  • DOI: https://doi.org/10.1007/3-540-36131-6_41

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00131-7

  • Online ISBN: 978-3-540-36131-2

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