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.

An implementation of a method for computing fuzzy numbers representing stationary probabilities of an unknown Markov chain,
        from which a sequence of observations along time has been obtained. The algorithm is based on the proposal presented by James Buckley 
        in his book on Fuzzy probabilities (Springer, 2005), chapter 6. Package 'FuzzyNumbers' is used to represent the output probabilities.

The aim of the package is to provide some basic functions
 for doing statistics with trapezoidal fuzzy numbers. In particular,
  the package contains several functions for simulating trapezoidal 
  fuzzy numbers, as well as for calculating some central tendency 
  measures (mean and two types of median), some scale measures 
  (variance, ADD, MDD, Sn, Qn, Tn and some M-estimators) and 
  one diversity index and one inequality index. Moreover, 
  functions for calculating the 1-norm distance, the mid/spr 
  distance and the (phi,theta)-wabl/ldev/rdev distance between 
  fuzzy numbers are included, and a function to calculate the 
  value phi-wabl given a sample of trapezoidal fuzzy numbers.

The aim of the package is to contain the package 'FuzzyStatTra' in 
    Encapsulated Object Oriented Programming using R6. 'FuzzyStatTra' contains Statistical 
    Methods for Trapezoidal Fuzzy Numbers, whose aim is to provide some basic functions 
    for doing statistical analysis with trapezoidal fuzzy numbers. For more details, you 
    can visit the website of the SMIRE+CoDiRE (Statistical Methods with Imprecise Random 
    Elements and Comparison of Distributions of Random Elements) Research Group 
    (<https://bellman.ciencias.uniovi.es/smire+codire/>). The most related paper can be 
    found in References. Now, those functions are organized in specific classes and methods. 
    This object-based approach is an important step in making statistical computing more 
    accessible to users.