mlbench, parallel, Rdpack, rootSolve, stats, trapezoid

Description: It provides classifiers which can be used for discrete variables and for continuous variables based on the Naive Bayes and Fuzzy Naive Bayes hypothesis. Those methods were developed by researchers belong to the 'Laboratory of Technologies for Virtual Teaching and Statistics (LabTEVE)' (<http://www.de.ufpb.br/~labteve/>) and 'Laboratory of Applied Statistics to Image Processing and Geoprocessing (LEAPIG)' (<http://www.de.ufpb.br/~leapig/>) at 'Federal University of Paraiba, Brazil'. They considered some statistical distributions and their papers were published in the scientific literature, as for instance, the Gaussian classifier using fuzzy parameters, proposed by 'Moraes, Ferreira and Machado' (2021) <doi:10.1007/s40815-020-00936-4>.
Imports: caTools, doParallel, e1071, EnvStats, foreach, MASS, parallel,

person("Carlos A.", "Rabelo", role = c("aut", "cre"),
person("Pablo J.", "Villacorta", role = c("ctb"),
Description: 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.
Maintainer: Carlos A. Rabelo <carabelo@gmail.com>

Description: 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

Description: 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.

Title: Multi-Criteria Decision Making Methods for Fuzzy Data
Author: Blanca A. Ceballos Martin <bceballos@decsai.ugr.es>
Maintainer: Blanca A. Ceballos Martin <bceballos@decsai.ugr.es>
Description: 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.