##############################################################################
#
# Copyright © 2005 Michel Grabisch and Ivan Kojadinovic
#
# Ivan.Kojadinovic@polytech.univ-nantes.fr
#
# This software is a package for the statistical system GNU R:
# http://www.r-project.org
#
# 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
# "http://www.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
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# encouraged to load and test the software's suitability as regards their
# requirements in conditions enabling the security of their systems and/or
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# The fact that you are presently reading this means that you have had
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#
##############################################################################
## Class capacity extends game
##############################################################################
## Constructor from numeric
capacity <- function(object) {
sf <- set.func.internal(object)
new("capacity", data = sf$data, subsets = sf$subsets, n = sf$n)
}
## Constructor from set.func
setMethod("as.capacity", signature(object = "set.func"),
function(object,...) {
new("capacity", data = object@data, subsets = object@subsets,
n = object@n)
}
)
## Constructor
setMethod("as.capacity", signature(object = "card.capacity"),
function(object,...) {
sf <- as.set.func.internal(object)
new("capacity", data = sf$data, subsets = sf$subsets, n = sf$n)
}
)
## Constructor from Mobius.game
setMethod("zeta", signature(object = "Mobius.capacity"),
function(object, ...) {
sf <- zeta.internal(object)
new("capacity", data = sf$data, subsets = sf$subsets, n = sf$n)
}
)
## Constructor from capacity
## The conjugate of a capacity is a capacity
setMethod("conjugate", signature(object = "capacity"),
function(object, ...) {
sf <- conjugate.internal(object)
new("capacity", data = sf$data, subsets = sf$subsets, n = sf$n)
}
)
##############################################################################
## Tests whether the set function is normalized
setMethod("is.normalized", signature(object = "capacity"),
function(object,...) {
object@data[2^object@n] == 1
}
)
## Returns the normalized version of the capacity
setMethod("normalize", signature(object = "capacity"),
function(object,...) {
mu <- object
mu@data <- mu@data / mu@data[2^mu@n]
mu
}
)
##############################################################################
## Computes the veto indices of a capacity
setMethod("veto", signature(object = "capacity"),
function(object, ...) {
result <- .C("veto_capacity",
as.integer(object@n),
as.double(object@data),
result = double(object@n),
PACKAGE="kappalab")$result
names(result) <- 1:object@n
result
}
)
## Computes the favor indices of a capacity
setMethod("favor", signature(object = "capacity"),
function(object, ...) {
result <- .C("favor_capacity",
as.integer(object@n),
as.double(object@data),
result = double(object@n),
PACKAGE="kappalab")$result
names(result) <- 1:object@n
result
}
)
## Computes the orness degree of a capacity
setMethod("orness", signature(object = "capacity"),
function(object, ...) {
.C("orness_capacity",
as.integer(object@n),
as.double(object@data),
res = double(1),
PACKAGE="kappalab")$res
}
)
## Computes the normalized variance of a capacity
setMethod("variance", signature(object = "capacity"),
function(object, ...) {
.C("variance_capacity",
as.integer(object@n),
as.double(object@data),
res = double(1),
PACKAGE="kappalab")$res
}
)
## Computes the normalized entropy of a capacity
setMethod("entropy", signature(object = "capacity"),
function(object, ...) {
.C("entropy_capacity",
as.integer(object@n),
as.double(object@data),
res = double(1),
PACKAGE="kappalab")$res
}
)
##############################################################################