farules

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.

rules

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>.

statistics

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><a rd-options="=searchrules" href="/link/searchrules()?package=lfl&version=2.1.0&to=%3Dsearchrules" data-mini-rdoc="=searchrules::searchrules()">searchrules()</a></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).

Michal Burda

Linguistic Fuzzy Logic

farules function

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><a rd-options='=searchrules' href='searchrules()'>searchrules()</a></code> function.

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

Description

Usage

Arguments

Value

See Also