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The Fuzzy Sugeno Integral as a Decision Operator in the Recognition of Images with Modular Neural Networks

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Hybrid Intelligent Systems

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 208))

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Abstract

In a previous paper we presented the implementation of the Fuzzy Sugeno Integral formulas developed with Matlab 6.5. The programs are now included in a System called “Herramientas Multired” (“hmr”). In this paper we will review an example of modular neural network for image recognition, using images divided in four parts. The Fuzzy Sugeno Integral was used to make a final decision for pattern recognition.

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References

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Duarte, O.M., Melin, P. (2007). The Fuzzy Sugeno Integral as a Decision Operator in the Recognition of Images with Modular Neural Networks. In: Castillo, O., Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Hybrid Intelligent Systems. Studies in Fuzziness and Soft Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37421-3_19

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  • DOI: https://doi.org/10.1007/978-3-540-37421-3_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37419-0

  • Online ISBN: 978-3-540-37421-3

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