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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{rule_input} =} fuzzify_input (@var{fis}, @var{user_input})
##
## Return the matching degree for each (rule, input value) pair.
## For an FIS that has Q rules and N FIS input variables, the return value
## will be a Q x N matrix.
##
## The crisp input values are given by a row vector:
##
## @verbatim
## user_input: [input_1 input_2 ... input_N]
## @end verbatim
##
## The rule antecedents are stored in the FIS structure as row vectors:
##
## @verbatim
## rule 1 antecedent: [in_11 in_12 ... in_1N]
## rule 2 antecedent: [in_21 in_22 ... in_2N]
## ... ...
## rule Q antecedent: [in_Q1 in_Q2 ... in_QN]
## @end verbatim
##
## Finally, the output of the function gives the matching degree
## for each (rule, input value) pair as an Q x N matrix:
##
## @verbatim
## in_1 in_2 ... in_N
## rule_1 [[mu_11 mu_12 ... mu_1N]
## rule_2 [mu_21 mu_22 ... mu_2N]
## [ ... ]
## rule_Q [mu_Q1 mu_Q2 ... mu_QN]]
## @end verbatim
##
## Because fuzzify_input is called only by the private function
## evalfis_private, it does no error checking of the argument values.
##
## @end deftypefn
## Author: L. Markowsky
## Keywords: fuzzy-logic-toolkit fuzzy inference system fis
## Directory: fuzzy-logic-toolkit/inst/private/
## Filename: fuzzify_input.m
## Last-Modified: 31 Aug 2024
function rule_input = fuzzify_input (fis, user_input)
num_rules = columns (fis.rule); ## num_rules == Q (above)
num_inputs = columns (fis.input); ## num_inputs == N
rule_input = zeros (num_rules, num_inputs); ## to prevent resizing
## For each rule i and each input j, compute the value of mu
## in the result.
for i = 1 : num_rules
antecedent = fis.rule(i).antecedent;
for j = 1 : num_inputs
mu = 0;
crisp_x = user_input(j);
## Get the value of mu (with adjustment for the hedge
## and not_flag).
[mf_index hedge not_flag] = ...
get_mf_index_and_hedge (antecedent(j));
if (mf_index != 0)
mf = fis.input(j).mf(mf_index);
mu = evalmf (crisp_x, mf.params, mf.type, hedge, not_flag);
endif
## Store the fuzzified input in rule_input.
rule_input(i, j) = mu;
endfor
endfor
endfunction
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