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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Neural
Networks In Determination Of Defuzzification Functionals |
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Authors: |
Witold Kosiński, Katarzyna
Węgrzyn-Wolska |
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Published in:
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(2011).ECMS
2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho. European Council for Modeling and Simulation. doi:10.7148/2011 ISBN:
978-0-9564944-2-9 25th
European Conference on Modelling and Simulation, Jubilee Conference Krakow,
June 7-10, 2011
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Citation
format: |
Kosinski, W., & Wegrzyn-Wolska,
K. (2011). Neural Networks In Determination Of Defuzzification
Functionals. ECMS 2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho
(pp. 546-552). European Council for Modeling and Simulation. doi:10.7148/2011-0546-0552 |
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DOI: |
http://dx.doi.org/10.7148/2011-0546-0552 |
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Abstract: |
Ordered
fuzzy numbers as generalization of convex fuzzy numbers are defined together
with four algebraic opera- tions. For defuzzification operators, that play the main role when
dealing with fuzzy controllers and fuzzy in- ference
systems, new representation formulae are given. Step ordered fuzzy numbers
are considered. Approxi- mation
method based on forward neural networks is pre- sented
for determining defuzzification functionals
when training sets of data are given. Results of approximation are given. |
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