FuzzySimRes: Simulation and Resampling Methods for Epistemic Fuzzy Data

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>) together with the functions to apply statistical tests and estimate various characteristics based on the epistemic bootstrap. The package also includes a real-life data set of epistemic fuzzy triangular numbers. The fuzzy numbers used in this package are consistent with the 'FuzzyNumbers' package.

Getting started

Package details

AuthorMaciej Romaniuk [cre, aut] (<https://orcid.org/0000-0001-9649-396X>), Przemyslaw Grzegorzewski [aut] (<https://orcid.org/0000-0002-5191-4123>), Abbas Parchami [aut] (<https://orcid.org/0000-0002-0593-7324>), Luis Carvalho [ctb, cph] (Procedures from kolmim package in the kolmim.c file)
MaintainerMaciej Romaniuk <mroman@ibspan.waw.pl>
LicenseGPL-3
Version0.4.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("FuzzySimRes")

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FuzzySimRes documentation built on May 29, 2024, 3:34 a.m.