Article
Full entry |
PDF
(0.2 MB)
Feedback
PDF
(0.2 MB)
Feedback
Keywords:
uncertain knowledge; fuzzy implication; rule base; Łukasiewicz's fuzzy logic with evaluated syntax; composition function
uncertain knowledge; fuzzy implication; rule base; Łukasiewicz's fuzzy logic with evaluated syntax; composition function
Summary:
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.
References:
[1] Berka, P.: Learning compositional decision rules using the KEX algorithm. Intelligent Data Analysis 16 (2012), 665-681.
[2] Berka, P., Ivánek, J.: Automated knowledge acquisition for PROSPECTOR-like expert systems. In: Machine Learning: ECML-94 (F. Bergadano and L. D. Raedt, eds.), Springer Verlag 1994, pp. 339-342. DOI 10.1007/3-540-57868-4_68 | MR 1291828
[3] Hájek, P.: Combining functions for certainty factors in consulting systems. Int. J. Man-Machine Studies 22 (1985), 59-76. DOI 10.1016/s0020-7373(85)80077-8
[4] Hájek, P.: Metamathematics of Fuzzy Logic. Kluwer Academic Publishers, Dordrecht 1998. DOI 10.1007/978-94-011-5300-3 | MR 1900263 | Zbl 1007.03022
[5] Hájek, P., Havránek, T., Jiroušek, R.: Uncertain Information Processing in Expert Systems. MR 1253068
[6] Ivánek, J.: Representation of expert knowledge as a fuzzy axiomatical theory. Int. J. General Systems 20 (1991), 55-58. DOI 10.1080/03081079108945013
[7] Ivánek, J., Stejskal, B.: Automatic acquisition of knowledge base from data without expert: ESOD (Expert System from Observational Data). In: Proc. COMPSTAT'88 Copenhagen, Physica-Verlag, Heidelberg 1988, pp. 175-180. DOI 10.1007/978-3-642-46900-8_23
[8] Ivánek, J., Švenda, J., Ferjenčík, J.: Inference in expert systems based on complete multivalued logic. Kybernetika 25 (1989), 25-32. DOI 10.1109/64.193052 | Zbl 0665.68077
[9] 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. Zbl 1100.03012
[10] Novák, V., Perfilieva, I., Močkoř, J.: Mathematical Principles of Fuzzy Logic. Kluwer, Boston 1999. DOI 10.1007/978-1-4615-5217-8 | MR 1733839 | Zbl 0940.03028
[11] Pavelka, J.: On fuzzy logic I, II, III. Zeischr. f. Math. Logik und Grundl. der Math. 25 (1979), 45-52, 119-134, 447-464. DOI 10.1002/malq.19790252510 | MR 0524558
Search
Partner of
