Nothing
################################################################################
#
# GeoFIS R package
#
# Copyright (C) 2021 INRAE
#
# Authors:
# Jean-luc Lablée - INRAE
# Serge Guillaume - INRAE
#
# License: CeCILL v2.1
# https://cecill.info/licences/Licence_CeCILL_V2.1-en.html
# https://cecill.info/licences/Licence_CeCILL_V2.1-fr.html
#
# This software is governed by the CeCILL license under French law and
# abiding by the rules of distribution of free software. You can use,
# modify and/ or redistribute the software under the terms of the CeCILL
# license as circulated by CEA, CNRS and INRIA at the following URL
# "https://cecill.info".
#
# As a counterpart to the access to the source code and rights to copy,
# modify and redistribute granted by the license, users are provided only
# with a limited warranty and the software's author, the holder of the
# economic rights, and the successive licensors have only limited liability.
#
# In this respect, the user's attention is drawn to the risks associated
# with loading, using, modifying and/or developing or reproducing the
# software by the user in light of its specific status of free software,
# that may mean that it is complicated to manipulate, and that also
# therefore means that it is reserved for developers and experienced
# professionals having in-depth computer knowledge. Users are therefore
# encouraged to load and test the software's suitability as regards their
# requirements in conditions enabling the security of their systems and/or
# data to be ensured and, more generally, to use and operate it in the
# same conditions as regards security.
#
# The fact that you are presently reading this means that you have had
# knowledge of the CeCILL license and that you accept its terms.
#
################################################################################
#' @title Class "FusionLabel"
#' @name FusionLabel
#' @docType class
#' @description Defines the allowed labels for the [Mf]s of the fuzzy inputs or output in the [Fis] "Fusion"
#' @importFrom R6 R6Class
#'
#' @export
FusionLabel <- R6Class("FusionLabel",
cloneable = FALSE,
active = list(
#' @field very_low [character] vector (read-only), The very_low label
very_low = function() {
return("very low")
},
#' @field low [character] vector (read-only), The low label
low = function() {
return("low")
},
#' @field average [character] vector (read-only), The average label
average = function() {
return("average")
},
#' @field high [character] vector (read-only), The high label
high = function() {
return("high")
},
#' @field very_high [character] vector (read-only), The very_high label
very_high = function() {
return("very high")
}
),
public = list(
#' @description Get the allowed labels depending on the granularity in the [Fis]\cr
#' for granularity 2, allowed labels are: \[low, high\]\cr
#' for granularity 3, allowed labels are: \[low, average, high\]\cr
#' for granularity 4, allowed labels are: \[very_low, low, high, very_high\]\cr
#' for granularity 5, allowed labels are: \[very_low, low, average, high, very_high\]
#' @param granularity [integer] value, The granularity of the fuzzy inputs or output in the [Fis] (value in range \[2, 5\])
#' @return [character] vector, The allowed labels for the granularity
get_labels = function(granularity) {
.CheckGranularityRange(granularity)
switch(granularity,
return(NULL),
return(c(self$low, self$high)),
return(c(self$low, self$average, self$high)),
return(c(self$very_low, self$low, self$high, self$very_high)),
return(c(self$very_low, self$low, self$average, self$high, self$very_high)),
)
}
)
)
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