Suggests: knitr, rmarkdown, MASS, ggplot2, mvtnorm

Packaged: 2022-04-24 21:57:20 UTC; adamzhong

Description: The main goal of this package is drawing the membership function of the fuzzy p-value which is defined as a fuzzy set on the unit interval for three following problems: (1) testing crisp hypotheses based on fuzzy data, (2) testing fuzzy hypotheses based on crisp data, and (3) testing fuzzy hypotheses based on fuzzy data. In all cases, the fuzziness of data or/and the fuzziness of the boundary of null fuzzy hypothesis transported via the p-value function and causes to produce the fuzzy p-value. If the p-value is fuzzy, it is more appropriate to consider a fuzzy significance level for the problem. Therefore, the comparison of the fuzzy p-value and the fuzzy significance level is evaluated by a fuzzy ranking method in this package.

Authors@R: c(person("Jan", "Caha", email = "cahik@atlas.cz",
Description: Calculation of AHP (Analytic Hierarchy Process - <http://en.wikipedia.org/wiki/Analytic_hierarchy_process>)
with classic and fuzzy weights based on Saaty's pairwise comparison method for determination of weights.

Description: Calculation of AHP (Analytic Hierarchy Process - <http://
en.wikipedia.org/wiki/Analytic_hierarchy_process>) with classic and fuzzy
weights based on Saaty's pairwise comparison method for determination of

Description: Calculation of AHP (Analytic Hierarchy Process -
with classic and fuzzy weights based on Saaty's pairwise
comparison method for determination of weights.

role = c("ctb", "com"), comment = "up to version 0.6.5"))
Aneta Drážná [ctb, com] (up to version 0.6.5)

c(person("Jodavid", "Ferreira", email = "jodavid@protonmail.com",role = c("aut","cre"), comment = c(ORCID = "0000-0002-2131-6464")),
person("Ronei", "Moraes", email = "ronei@de.ufpb.br",role = c("ctb"), comment = c(ORCID = "0000-0001-8436-8950")),
person("Arthur", "Ricardo", email = "arthur.ricardo17@gmail.com",role = c("ctb")))
Description: Provides classifiers that can be used for discrete variables and for continuous variables based on the idea of Naive Bayes and Fuzzy Naive Bayes considering some statistical distributions of articles published in the literature developed in the LabTEVE and LEAPIG research laboratories. Among the proposed classification methods is a with the Gamma distribution, proposed by Moraes, Soares and Machado (2018) <doi:10.1142/9789813273238_0088>.
Imports: caTools, datasets, doParallel, e1071, EnvStats, foreach, MASS,
mlbench, parallel, Rdpack, rootSolve, trapezoid
Author: Jodavid Ferreira [aut, cre] (<https://orcid.org/0000-0002-2131-6464>),