cheeseQualityData

<p>A set of fuzzy epistemic data containing the corrected version of the three experts' opinions about the Gamonedo cheese quality data.</p>

datasets

Random simulations of fuzzy numbers are still a challenging problem. The aim of this package is to provide the respective
procedures to simulate fuzzy random variables, especially in the case of the piecewise linear fuzzy numbers (PLFNs,
see Coroianua et al. (2013) <doi:10.1016/j.fss.2013.02.005> for the further details).
Additionally, the special resampling algorithms known as the epistemic bootstrap are provided (see Grzegorzewski and Romaniuk
(2022) <doi:10.34768/amcs-2022-0021>, Grzegorzewski and Romaniuk (2022) <doi:10.1007/978-3-031-08974-9_39>,
Romaniuk et al. (2024) <doi:10.32614/RJ-2024-016>)
together with the functions to apply statistical tests and estimate various characteristics based on the epistemic bootstrap.
The package also includes real-life datasets of epistemic fuzzy triangular and trapezoidal numbers.
The fuzzy numbers used in this package are consistent with the 'FuzzyNumbers' package.

Maciej Romaniuk

FuzzySimRes

Simulation and Resampling Methods for Epistemic Fuzzy Data

Przemyslaw Grzegorzewski

Abbas Parchami

Luis Carvalho

cheeseQualityData function

<p>A list of 120 trapezoidal fuzzy numbers (as defined in <code>FuzzyNumbers</code> package) for three experts (40 answers of the
first expert, 38 of the second, and 42 of the third one).
Each observation in the list has its label <code>Exp.y.z</code>, where <code>y</code> is the number of the expert, and <code>z</code> is the
number of his answer.</p>

Format

Experts' opinions about cheese quality — cheeseQualityData

Experts' opinions about cheese quality

cheeseQualityData: Experts' opinions about cheese quality

Description

Usage

Arguments

Format