caTools, doParallel, e1071, EnvStats, foreach, MASS, parallel,
purrr, Rdpack, rootSolve, stats

c(
person("Carlos A.", "Rabelo", role = c("aut", "cre"),
email = "carabelo@gmail.com"),
person("Pablo J.", "Villacorta", role = c("ctb"),
email = " pjvi@decsai.ugr.es"))
Methods to solve Fuzzy Linear Programming Problems with
fuzzy constraints (by Verdegay, Zimmermann, Werner, Tanaka),
fuzzy costs (multiobjective, interval arithmetic, stratified piecewise reduction,
defuzzification-based), and fuzzy technological matrix.
Carlos A. Rabelo [aut, cre],
Pablo J. Villacorta [ctb]

Provides methods to solve Fuzzy Linear Programming Problems with
fuzzy constraints (following different approaches proposed by
Verdegay, Zimmermann, Werners and Tanaka), fuzzy costs, and fuzzy
technological matrix.

Contains functions for operations with fuzzy cognitive maps using t-norm and s-norm operators. T-norms and S-norms are described by Dov M. Gabbay and George Metcalfe (2007) <doi:10.1007/s00153-007-0047-1>. System indicators are described by Cox, Earl D. (1995) <isbn:1886801010>. Executable examples are provided in the "inst/examples" folder.

Multi-Criteria Decision Making Methods for Fuzzy Data
Blanca A. Ceballos Martin <bceballos@decsai.ugr.es>
Implementation of several MCDM methods for fuzzy data (triangular
fuzzy numbers) for decision making problems. The methods that are implemented in
this package are Fuzzy TOPSIS (with two normalization procedures), Fuzzy VIKOR,
Fuzzy Multi-MOORA and Fuzzy WASPAS. In addition, function MetaRanking() calculates
a new ranking from the sum of the rankings calculated, as well as an aggregated ranking.

The FuzzyNumbers package provides S4 classes and methods
to deal with Fuzzy Numbers. It allows for computations of
arithmetic operations on FNs, approximation by trapezoidal and
piecewise linear FNs, random FN generation, etc.
'FuzzyNumbers-package.R' 'FuzzyNumber.R'
'TrapezoidalFuzzyNumber.R' 'PiecewiseLinearFuzzyNumber.R'
'PowerFuzzyNumber.R' 'DiscontinuousFuzzyNumber.R'
'Extract-methods.R' 'invert-generators.R' 'integrate.R'
'evaluate-methods.R' 'distance-methods.R'
'Arithmetic-methods.R' 'convert-generators.R' 'core-methods.R'
'alphacut-methods.R' 'alphaInterval-methods.R'
'expectedInterval-methods.R' 'ambiguity-methods.R'
'expectedValue-methods.R' 'supp-methods.R' 'value-methods.R'
'weightedExpectedValue-methods.R' 'width-methods.R'
'plot-methods.R' 'show-methods.R'
'piecewiseLinearApproximation-methods.R'
'trapezoidalApproximation-methods.R'