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.
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References
Albrecht R. F. (1998) “On mathematical systems theory”. In: R. Albrecht (ed.): Systems: Theory and Practice, Springer, Vienna-New York, pp. 33–86
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
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Albrecht R. F., Németh G. (1998) “A Generic Model for Knowledge Bases”, Periodica Polytechnica, Electrical Engineering, TU Budapest, vol. 42, pp. 147–154
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© 2003 Springer-Verlag Wien
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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
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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
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