Kybernetika 53 no. 1, 113-128, 2017

Selection and correction of weighted rules based on \L ukasiewicz's fuzzy logic with evaluated syntax

Jiří IvánekDOI: 10.14736/kyb-2017-1-0113

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.

Keywords:

fuzzy implication, uncertain knowledge, rule base, Łukasiewicz's fuzzy logic with evaluated syntax, composition function

Classification:

28E10, 28E99

paper.pdf

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