Learning rule base in linguistic expert systems |
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| Authors: | R. Bělohlávek V. Novák |
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| Affiliation: | (1) Institute for Research and Applications of Fuzzy Modeling, University of Ostrava,30. dubna 22, 701 03 Ostrava, Czech Republic, e-mail: Radim.Belohlavek@osu.cz, CZ;(2) Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30. dubna 22, 701 03 Ostrava, Czech Republic, and Institute of Information and Automation Theory, Academy of Sciences of the Czech Republic, Pod vodárenskou věží 4, 186 02 Praha 8, Czech Republic, CZ |
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| Abstract: | Linguistic fuzzy control is introduced in a pure logical framework. The problem of learning of the linguistic rule base from
the data obtained by monitoring of successful control and the problem of learning the linguistic context are studied. The
methods are demonstrated by results of experiments.
Supported by the grant No. 201/96/0985 of the GAČR and the project VS96037 of MŠMT of the Czech Republic. |
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| Keywords: | Linguistic oriented fuzzy control, Rule base, Linguistic context, Learning |
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