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International Workshop on Fuzzy Logic and Applications

WILF 2005: Fuzzy Logic and Applications pp 395–403Cite as

Selective Immunity-Based Model Considering Filtering Information by Automatic Generated Positive/Negative Cells

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3849))

Abstract

Biological system has a very efficient immunity system which selects important signals and protects its body. The functions of immunity system can be successfully adopted to design an intelligent system in the information society. Accordingly in this paper Immunity based system which can select the important data from a large amount data is proposed . we define filtering factor as a criterion for reacting and selecting the data. This system is designed to have learning, perception & inference and Data extraction and to have an additive learning mechanism for the new obtained important information. This system is applied to the area for the analysis of customer’s tastes and its performance is analyzed and compared

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References

  1. Shim, J.-Y.: Knowledge Retrieval Using Bayesian Associative Relation in the Three Dimensional ModularSystem. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds.) APWeb 2004. LNCS, vol. 3007, pp. 630–635. Springer, Heidelberg (2004)

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  2. Anderson, J.R.: Learning and Memory. Prentice-Hall, Englewood Cliffs

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  3. Fausett, L.: Fundamentals of Neural Networks. Prentice-Hall, Englewood Cliffs

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Author information

Authors and Affiliations

  1. Division of General Studies, Computer Science, Kangnam University, San 6-2, Kugal-ri, Kihung-up, YongIn Si, KyeongKi Do, Korea

    JeongYon Shim

Authors
  1. JeongYon Shim
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Editor information

Editors and Affiliations

  1. Dept. TSI, CNRS UMR 5141 LTCI, ENST (Télécom ParisTech), Paris, France

    Isabelle Bloch

  2. Centro Direzionale, DSA, University of Naples, Parthenope, Isola C/4, 80143, Naples, Italy

    Alfredo Petrosino

  3. Dipartimento di Tecnologie dell’Informazione, Università di Milano Crema,  

    Andrea G. B. Tettamanzi

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© 2006 Springer-Verlag Berlin Heidelberg

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Shim, J. (2006). Selective Immunity-Based Model Considering Filtering Information by Automatic Generated Positive/Negative Cells. In: Bloch, I., Petrosino, A., Tettamanzi, A.G.B. (eds) Fuzzy Logic and Applications. WILF 2005. Lecture Notes in Computer Science(), vol 3849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11676935_49

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  • DOI: https://doi.org/10.1007/11676935_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32529-1

  • Online ISBN: 978-3-540-32530-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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