Skip to main content

A Universal Knowledge Module and its Applications

  • Conference paper
Artificial Neural Nets and Genetic Algorithms
  • 288 Accesses

Abstract

We introduce a universal relational scheme of parameterized sets of objects of arbitrary types, taking also variables and topological structures into account, to represent precise and imprecise (“vague”) knowledge. By operations applied to the scheme further knowledge can be deduced and by functional “queries” facts can be interrogated. As illustrative examples applications to databases, pattern recognition and logical deduction are considered.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Albrecht R. F. (1998) “On mathematical systems theory”. In: R. Albrecht (ed.): Systems: Theory and Practice, Springer, Vienna-New York, pp. 33–86

    Chapter  Google Scholar 

  2. Albrecht R. F (1999) “Topological Approach to Fuzzy Sets and Fuzzy Logic”. In: A. Dobnikar, N. C. Steele, D. W. Pearson, R. F. Albrecht (eds.): Artificial Neural Nets and Genetic Algorithms, Springer, Vienna-New York, pp. 1–7

    Chapter  Google Scholar 

  3. Albrecht R. F. (1999) “Topological Theory of Fuzziness”. In: B. Reusch (ed.): Computational Intelligence, Theory and Applications, LNCS vol. 1625, Springer, Heidelberg-New York, pp. 1–11

    Google Scholar 

  4. Albrecht R. F. (2001) “Topological Concepts for Hierarchies of Variables, Types and Controls”. In: G. Alefeld, J. Rohn, S. Rump, F. Yamamoto (eds.): Symbolic Algebraic Methods and Verification Methods, Springer Vienna-New York, pp. 3–10

    Chapter  Google Scholar 

  5. Albrecht R. F., Németh G. (1998) “A Generic Model for Knowledge Bases”, Periodica Polytechnica, Electrical Engineering, TU Budapest, vol. 42, pp. 147–154

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Wien

About this paper

Cite this paper

Albrecht, R.F., Németh, G. (2003). A Universal Knowledge Module and its Applications. In: Pearson, D.W., Steele, N.C., Albrecht, R.F. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0646-4_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-0646-4_44

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-00743-3

  • Online ISBN: 978-3-7091-0646-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics