Selection and correction of weighted rules based on Łukasiewicz's fuzzy logic with evaluated syntax
Kybernetika (2017)
- Volume: 53, Issue: 1, page 113-128
- ISSN: 0023-5954
Access Full Article
top
Abstract
topHow to cite
topIvánek, Jiří. "Selection and correction of weighted rules based on Łukasiewicz's fuzzy logic with evaluated syntax." Kybernetika 53.1 (2017): 113-128. <http://eudml.org/doc/287961>.
@article{Ivánek2017,
abstract = {The core of the expert knowledge is typically represented by a set of rules (implications) assigned with weights specifying their (un)certainties. In the paper, a method for hierarchical selection and correction of expert's weighted rules is described particularly in the case when Łukasiewicz's fuzzy logic with evaluated syntax for dealing with weights is used.},
author = {Ivánek, Jiří},
journal = {Kybernetika},
keywords = {uncertain knowledge; fuzzy implication; rule base; Łukasiewicz's fuzzy logic with evaluated syntax; composition function},
language = {eng},
number = {1},
pages = {113-128},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Selection and correction of weighted rules based on Łukasiewicz's fuzzy logic with evaluated syntax},
url = {http://eudml.org/doc/287961},
volume = {53},
year = {2017},
}
TY - JOUR
AU - Ivánek, Jiří
TI - Selection and correction of weighted rules based on Łukasiewicz's fuzzy logic with evaluated syntax
JO - Kybernetika
PY - 2017
PB - Institute of Information Theory and Automation AS CR
VL - 53
IS - 1
SP - 113
EP - 128
AB - The core of the expert knowledge is typically represented by a set of rules (implications) assigned with weights specifying their (un)certainties. In the paper, a method for hierarchical selection and correction of expert's weighted rules is described particularly in the case when Łukasiewicz's fuzzy logic with evaluated syntax for dealing with weights is used.
LA - eng
KW - uncertain knowledge; fuzzy implication; rule base; Łukasiewicz's fuzzy logic with evaluated syntax; composition function
UR - http://eudml.org/doc/287961
ER -
References
top- Berka, P., Learning compositional decision rules using the KEX algorithm., Intelligent Data Analysis 16 (2012), 665-681.
- Berka, P., Ivánek, J., 10.1007/3-540-57868-4_68, In: Machine Learning: ECML-94 (F. Bergadano and L. D. Raedt, eds.), Springer Verlag 1994, pp. 339-342. MR1291828DOI10.1007/3-540-57868-4_68
- Hájek, P., 10.1016/s0020-7373(85)80077-8, Int. J. Man-Machine Studies 22 (1985), 59-76. DOI10.1016/s0020-7373(85)80077-8
- Hájek, P., 10.1007/978-94-011-5300-3, Kluwer Academic Publishers, Dordrecht 1998. Zbl1007.03022MR1900263DOI10.1007/978-94-011-5300-3
- Hájek, P., Havránek, T., Jiroušek, R., Uncertain Information Processing in Expert Systems MR1253068
- Ivánek, J., 10.1080/03081079108945013, Int. J. General Systems 20 (1991), 55-58. DOI10.1080/03081079108945013
- Ivánek, J., Stejskal, B., 10.1007/978-3-642-46900-8_23, In: Proc. COMPSTAT'88 Copenhagen, Physica-Verlag, Heidelberg 1988, pp. 175-180. DOI10.1007/978-3-642-46900-8_23
- Ivánek, J., Švenda, J., Ferjenčík, J., 10.1109/64.193052, Kybernetika 25 (1989), 25-32. Zbl0665.68077DOI10.1109/64.193052
- Novák, V., Fuzzy Logic with Evaluated Syntax., In: Handbook of Mathematical Fuzzy Logic (P. Cintula, C. G. Fermuller, C. and Noguera, eds.), volume 3, College Publications, London 2015, pp. 1063-1104. Zbl1100.03012
- Novák, V., Perfilieva, I., Močkoř, J., 10.1007/978-1-4615-5217-8, Kluwer, Boston 1999. Zbl0940.03028MR1733839DOI10.1007/978-1-4615-5217-8
- Pavelka, J., 10.1002/malq.19790252510, Zeischr. f. Math. Logik und Grundl. der Math. 25 (1979), 45-52, 119-134, 447-464. MR0524558DOI10.1002/malq.19790252510
Citations in EuDML Documents
topNotesEmbed ?
topYou must be logged in to post comments.
To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.