compute_optimal_quantile_fuzzy_set_positions

computes the optimal fuzzy set positions based on the distribution of the data

Provides and extends the 'Fuzzy Coco' algorithm by wrapping the
'FuzzyCoCo' 'C++' Library, cf
<https://github.com/Lonza-RND-Data-Science/fuzzycoco>. 'Fuzzy Coco'
constructs systems that predict the outcome of a human decision-making
process while providing an understandable explanation of a possible
reasoning leading to it. The constructed fuzzy systems are composed
of rules and linguistic variables. This package provides a 'S3' classic
interface (fit_xy()/fit()/predict()/evaluate()) and a 'tidymodels'/'parsnip'
interface, a custom engine with custom iteration stop criterion and
progress bar support as well as a systematic implementation that do
not rely on genetic programming but rather explore all possible
combinations.

Karl Forner

Rfuzzycoco

Provides an R Interface to the 'FuzzyCoCo' C++ Library and
Extends It

compute_optimal_quantile_fuzzy_set_positions function

<dl><dt>df</dt>
<dd>the data as a data frame</dd>
<dt>nb_sets</dt>
<dd>the number of fuzzy sets</dd></dl>

Arguments

computes the optimal fuzzy set positions based on the distribution of the data — compute_optimal_quantile_fuzzy_set_positions

<dl>

<dt>df</dt>
<dd>the data as a data frame</dd>


<dt>nb_sets</dt>
<dd>the number of fuzzy sets</dd>

</dl>

compute_optimal_quantile_fuzzy_set_positions: computes the optimal fuzzy set positions based on the distribution of the data

Description

Usage

Value

Arguments

Examples