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Start Over Creator Ivánek, Jiří

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

Creator:
Ivánek, Jiří
Format:
bez média and svazek
Type:
model:article and TEXT
Subject:
uncertain knowledge, fuzzy implication, rule base, Łukasiewicz's fuzzy logic with evaluated syntax, and composition function
Language:
English
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.
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public

3. Using fuzzy logic operators for construction of data mining quantifiers

Creator:
Ivánek, Jiří
Format:
bez média and svazek
Type:
model:article and TEXT
Subject:
fuzzy logic, data mining, and four-fold table quantifiers
Language:
English
Description:
Relations between two Boolean attributes derived from data can be quantified by truth functions defined on four-fold tables corresponding to pairs of the attributes. Several classes of such quantifiers (implicational, double implicational, equivalence ones) with truth values in the unit interval were investigated in the frame of the theory of data mining methods. In the fuzzy logic theory, there are well-defined classes of fuzzy operators, namely t-norms representing various types of evaluations of fuzzy conjunction (and t-conorms representing fuzzy disjunction), and operators of fuzzy implications. In the contribution, several types of constructions of quantifiers using fuzzy operators are described. Definitions and theorems presented by the author in previous contributions to WUPES workshops are summarized and illustrated by examples of well-known quantifiers and operators.
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public