Selection and correction of weighted rules based on Łukasiewicz's fuzzy logic with evaluated syntax

Title:

Selection and correction of weighted rules based on Łukasiewicz's fuzzy logic with evaluated syntax

Creator:

Ivánek, Jiří

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:bff5d13a-0e36-4172-96e6-f9c6ae650382
uuid:bff5d13a-0e36-4172-96e6-f9c6ae650382
doi:10.14736/kyb-2017-1-0113

Subject:

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

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Kybernetika | 2017 Volume:53 | Number:1

Harvested from:

CDK

Metadata only:

false