Geodesic
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.
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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     title = {Selection and correction of weighted rules based on {{\L}ukasiewicz's} fuzzy logic with evaluated syntax},
     journal = {Kybernetika},
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     language = {en},
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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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