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 \L ukasiewicz'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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