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## Copyright (C) 2011-2025 L. Markowsky <lmarkowsky@gmail.com>
##
## This file is part of the fuzzy-logic-toolkit.
##
## The fuzzy-logic-toolkit is free software; you can redistribute it
## and/or modify it under the terms of the GNU General Public License
## as published by the Free Software Foundation; either version 3 of
## the License, or (at your option) any later version.
##
## The fuzzy-logic-toolkit is distributed in the hope that it will be
## useful, but WITHOUT ANY WARRANTY; without even the implied warranty
## of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
## General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with the fuzzy-logic-toolkit; see the file COPYING. If not,
## see <http://www.gnu.org/licenses/>.
## -*- texinfo -*-
## @deftypefn {Function File} {@var{retval} =} bounded_sum (@var{x})
## @deftypefnx {Function File} {@var{retval} =} bounded_sum (@var{x}, @var{y})
##
## Return the bounded sum of the input.
## The bounded sum of two real scalars x and y is: min (1, x + y)
##
## For one vector argument, apply the bounded sum to all of elements of
## the vector. (The bounded sum is associative.) For one two-dimensional
## matrix argument, return a vector of the bounded sum of each column.
##
## For two vectors or matrices of identical dimensions, or for one scalar and
## one vector or matrix argument, return the pairwise bounded sum.
##
## @seealso{algebraic_product, algebraic_sum, bounded_difference, drastic_product, drastic_sum, einstein_product, einstein_sum, hamacher_product, hamacher_sum}
## @end deftypefn
## Author: L. Markowsky
## Keywords: fuzzy-logic-toolkit fuzzy bounded_sum
## Directory: fuzzy-logic-toolkit/inst/
## Filename: bounded_sum.m
## Last-Modified: 26 Jul 2024
function retval = bounded_sum (x, y = 0)
if ((nargin != 1) && (nargin != 2))
error ("bounded_sum requires 1 or 2 arguments\n");
elseif (!(isreal (x) && isreal (y)))
error ("bounded_sum requires real scalar or matrix arguments\n");
elseif (nargin == 2 && ...
(isscalar (x) || isscalar (y) || ...
isequal (size (x), size (y))))
retval = min (1, (x + y));
elseif (nargin == 1 && isvector (x))
retval = bounded_sum_of_vector (x);
elseif (nargin == 1 && ndims (x) == 2)
num_cols = columns (x);
retval = zeros (1, num_cols);
for i = 1 : num_cols
retval(i) = bounded_sum_of_vector (x(:, i));
endfor
else
error ("invalid arguments to function bounded_sum\n");
endif
endfunction
function retval = bounded_sum_of_vector (real_vector)
x = 0;
for i = 1 : length (real_vector)
y = real_vector(i);
x = min (1, (x + y));
endfor
retval = x;
endfunction
%!test
%! x = [0.5 0.2];
%! z = bounded_sum(x);
%! assert(z, 0.7, 1e-5);
%!test
%! x = [0.5 0.2 0.3 0.6];
%! y = [1 0 0.2 0.3];
%! z = bounded_sum(x, y);
%! assert(z, [1 0.2 0.5 0.9], 1e-5);
## Test input validation
%!error <bounded_sum requires 1 or 2 arguments>
%! bounded_sum()
%!error <bounded_sum: function called with too many inputs>
%! bounded_sum(1, 2, 3)
%!error <bounded_sum requires real scalar or matrix arguments>
%! bounded_sum(2j)
%!error <bounded_sum requires real scalar or matrix arguments>
%! bounded_sum(1, 2j)
%!error <bounded_sum requires real scalar or matrix arguments>
%! bounded_sum([1 2j])
%!error <invalid arguments to function bounded_sum>
%! bounded_sum([1 2], [1 2 3])
%!error <invalid arguments to function bounded_sum>
%! bounded_sum([1 2], [1 2; 3 4])
%!error <invalid arguments to function bounded_sum>
%! bounded_sum(0:100, [])
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