RI.laplace: Quality indicators of RST decision rules

In RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories

Quality indicators of RST decision rules

Description

Functions for extracting quality indices of rules.

Usage

RI.laplace(rules, ...)
RI.support(rules, ...)
RI.confidence(rules, ...)
RI.lift(rules, ...)

Arguments

rules	a "RuleSetRST" object containing a set of decision rules. See RI.LEM2Rules.RST.
...	the other parameters (currently omitted).

Value

A numeric vector with values of the corresponding quality measure.

Author(s)

Andrzej Janusz

Examples

###########################################################
## Example : Filtering a set of decision rules
###########################################################
data(RoughSetData)
hiring.data <- RoughSetData$hiring.dt

rules <- RI.LEM2Rules.RST(hiring.data)

rules

# a vector of rules' Laplace estimate of the confidence:
RI.laplace(rules)
# a vector of rules' confidence values:
RI.confidence(rules)

# subsetting a set of rules:
rules[RI.support(rules) > 0.2]
rules[RI.lift(rules) < 1.5]

RoughSets documentation built on May 29, 2024, 7:34 a.m.