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Selection and correction of weighted rules based on Łukasiewicz's fuzzy logic with evaluated syntax
Kybernetika, Tome 53 (2017) no. 1, pp. 113-128
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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.
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.
DOI : 10.14736/kyb-2017-1-0113
Classification : 28E10, 28E99
Keywords: uncertain knowledge; fuzzy implication; rule base; Łukasiewicz's fuzzy logic with evaluated syntax; composition function 
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Ivánek, Jiří. Selection and correction of weighted rules based on Łukasiewicz's fuzzy logic with evaluated syntax. Kybernetika, Tome 53 (2017) no. 1, pp. 113-128. doi: 10.14736/kyb-2017-1-0113

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