Pop.fuzzyReasoningMethod

A list with all rule object that define the population

the keel object with the dataset information.

dataset

matrix with all examples of the dataset without the class attribute. One examples per column.

examplesNoClass

An integer specifing the tipo of fuzzy reasoning method to use. 0 for Winning Rule, 1 for Normalized Sum and 2 for Arithmetic Mean.

Logical vector indicating which attributes of the dataset are categorical.

categorical

Logical vector indicating which attributes of the dataset are numerical.

numerical

The t_norm to use. 0 for minimum t-norm. 1 for product t-norm.

t_norm


Calcultes the Fuzzy Reasoning Method for all examples for a given rule population


Implementation of some algorithms for the data mining task called
"subgroup discovery" without package dependencies. It also provide a Shiny App
for make the analysis easier. The algorithms works with data sets provided in
KEEL or ARFF format files or data.frame objects. If you want more information about KEEL format, please
refer to < http://www.keel.es > .

Pop.fuzzyReasoningMethod: Calcultes the Fuzzy Reasoning Method for all examples for a given rule population

Description

Usage

Arguments

Value