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 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.). Rows correspond to
        the rules in the list of <code>rules</code>.
    

statistics


    The aim of the <code>farules</code> S3 class is to store a list of rules (a rule-base) together with
    some statistical characteristics. To search for fuzzy association rules, refer to
    <code><a rd-options="" href="/link/searchrules?package=lfl&version=1.3" data-mini-rdoc="lfl::searchrules">searchrules</a></code> function.


 models

 robust

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).

farules: A class of rules with statistical characteristics.

Description

Usage

Arguments

Value

Details

See Also