https://github.com/cran/kappalab
Tip revision: 1772ed4dc7fdf695b555b4a6e13aacea605d59c9 authored by Ivan Kojadinovic on 26 January 2009, 00:00:00 UTC
version 0.4-4
version 0.4-4
Tip revision: 1772ed4
Mobius.game.R
##############################################################################
#
# Copyright ゥ 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
# 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.
#
###############################################################################
## Class Mobius.game extends Mobius.set.func
##############################################################################
## Constructor from numeric
Mobius.game <- function(object, n, k) {
msf <- Mobius.set.func.internal(object, n, k)
new("Mobius.game", data = msf$data, subsets = msf$subsets,
n = msf$n, k=msf$k)
}
## Constructor from Mobius.set.func
setMethod("as.Mobius.game", signature(object = "Mobius.set.func"),
function(object, ...) {
new("Mobius.game", data = object@data, subsets = object@subsets,
n = object@n, k = object@k)
}
)
## Constructor from game
setMethod("Mobius", signature(object = "game"),
function(object, ...) {
msf <- k.truncate.Mobius.internal(object, object@n)
new("Mobius.game", data = msf$data, subsets = msf$subsets,
n = msf$n, k=msf$k)
}
)
##############################################################################
## Computes the Choquet integral of f w.r.t a
setMethod("Choquet.integral",signature(object = "Mobius.game", f = "numeric"),
function(object,f,...) {
if (!(object@n == length(f)))
stop("wrong arguments")
.C("Choquet_integral_Mobius",
as.integer(object@n),
as.integer(object@k),
as.double(object@data),
as.integer(object@subsets),
as.double(f),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
## Computes the Sugeno integral of f w.r.t a (f >= 0)
setMethod("Sugeno.integral",signature(object = "Mobius.game", f = "numeric"),
function(object,f,...) {
if (!(is.positive(f) && object@n == length(f)))
stop("wrong arguments")
if (is(object)[1] == "Mobius.capacity" && sum(f <=
sum(object@data)) != object@n)
stop("wrong arguments")
.C("Sugeno_integral_Mobius",
as.integer(object@n),
as.integer(object@k),
as.double(object@data),
as.integer(object@subsets),
as.double(f),
res = double(1),
PACKAGE="kappalab")$res[1]
}
)
## Computes the Sipos integral of f w.r.t a
setMethod("Sipos.integral",signature(object = "Mobius.game", f = "numeric"),
function(object,f,...) {
if (!(is.double(f) && object@n == length(f)))
stop("wrong arguments")
return(Choquet.integral(object,pmax(f,0))
- Choquet.integral(object,pmax(-f,0)))
}
)
##############################################################################
## Computes the expectation of the Choquet integral in the normal case
setMethod("expect.Choquet.norm",signature(object = "Mobius.game"),
function(object,...) {
.C("expectation_Choquet_norm_Mobius",
as.integer(object@n),
as.integer(object@k),
as.double(object@data),
as.integer(object@subsets),
res = double(1),
PACKAGE="kappalab")$res
}
)