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An Introduction to the Kosko Subsethood FAM

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Hybrid Artificial Intelligence Systems (HAIS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6077))

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Abstract

Inspired by the fact that in (fuzzy) mathematical morphology a (fuzzy) erosion is defined in terms of a (fuzzy) inclusion measure, we introduce a non-distributive fuzzy morphological associative memory model on the basis of the Kosko subsethood measure. Moreover, we compare the error correction capabilities of the new model and of other fuzzy and gray-scale associative memories in terms of some experimental results concerning gray-scale image reconstruction.

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics, University of Campinas, Campinas, State of São Paulo, Brazil

    Peter Sussner & Estevão Esmi

Authors
  1. Peter Sussner
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  2. Estevão Esmi
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Editor information

Editors and Affiliations

  1. Universidad de Salamanca, Spain

    Emilio Corchado

  2. Facultad de informatica UPV/EHU, San Sebastian, Spain

    Manuel Graña Romay  & Alexandre Manhaes Savio  & 

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Sussner, P., Esmi, E. (2010). An Introduction to the Kosko Subsethood FAM. In: Corchado, E., Graña Romay, M., Manhaes Savio, A. (eds) Hybrid Artificial Intelligence Systems. HAIS 2010. Lecture Notes in Computer Science(), vol 6077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13803-4_43

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  • DOI: https://doi.org/10.1007/978-3-642-13803-4_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13802-7

  • Online ISBN: 978-3-642-13803-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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