farules

This function is a constructor that returns an instance of the <code>farules</code> S3 class.
To search for fuzzy association rules, refer to the <code>searchrules()</code> function.

robust

models

Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association
rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD),
and forecasting time-series using fuzzy rule-based ensemble (FRBE). The package also contains basic
fuzzy-related algebraic functions capable of handling missing values in different styles (Bochvar,
Sobocinski, Kleene etc.), computation of Sugeno integrals and fuzzy transform.

Michal Burda

Linguistic Fuzzy Logic

farules function

<dl><dt>rules</dt>
<dd>A list of character vectors, where each vector represents a
rule and each value of the vector represents a predicate. The first value of
the vector is assumed to be a rule's consequent, the rest is a rule's antecedent.</dd>
<dt>statistics</dt>
<dd>A numeric matrix of various statistical characteristics of
the rules. Each column of that matrix corresponds to some statistic (such as
support, confidence, etc.) and each row corresponds to a rule in the list of
<code>rules</code>.</dd></dl>

Arguments

Author

Create an instance of S3 class farules which represents a set of fuzzy
association rules and their statistical characteristics. — farules

<dl>

<dt>rules</dt>
<dd>A list of character vectors, where each vector represents a
rule and each value of the vector represents a predicate. The first value of
the vector is assumed to be a rule's consequent, the rest is a rule's antecedent.</dd>


<dt>statistics</dt>
<dd>A numeric matrix of various statistical characteristics of
the rules. Each column of that matrix corresponds to some statistic (such as
support, confidence, etc.) and each row corresponds to a rule in the list of
<code>rules</code>.</dd>

</dl>

farules: Create an instance of S3 class `farules` which represents a set of fuzzy association rules and their statistical characteristics.

Description

Usage

Value

Arguments

Author

See Also