Fuzzy Relational Calculus Toolbox, Rel.1.01: alpha_eps_sample.m - File Exchange

Code covered by the BSD License

Highlights from
Fuzzy Relational Calculus Toolbox, Rel.1.01

Comp=ae_comp(A,B) function Comp=ae_comp(A,B)
[A,B]=re2le(R,T)
[A,B]=zerodiag(n);
[A,B]=zerodiag2(n);
[A,B]=zerodiag_eq(n);
[A1,B1]=sortmat(A,B);
[Coef]=FillTypeMatrix(A,B); function [Coef]=FillTypeMatrix(A,B);
[Xgr,low,sol]=fre(R,T);
alf=fuzzy_alpha(A,B) Calculates alpha product of matrices A and B
ans=fuzzy_maxmin_ind(A,n);
ans=fuzzy_minmax_ind(A,n);
disp_f(s,A); displays String s as title
disp_f2(s,A); displays String s as title
f_eps=fuzzy_epsilon(A,B) Calculates epsilon product of matrices A and B
linprog(A,B,C) function linprog(A,B,C)
linprog_fuzzy(A,B,C) function linprog(A,B,C)
mxmn=fuzzy_maxmin(A,B); Calculates max-min product of matrices A and B
mxmn=fuzzy_minmax(A,B) Calculates min-max product of matrices A and B
s=diagn(A,B,xs,bs);
s=disp_f2(s,A); displays String s as title
sol=solve_fls(A,B); function sol=solve_fls(A,B);
sol=solve_fls2(A,B); function sol=solve_fls(A,B);
sol=solve_fls3(A,B); function sol=solve_fls(A,B);
solution=FillHelpMatrix(A,B); function solution=FillHelpMatrix(A,B);
solution=FillHelpMatrixSoluti... function solution=FillHelpMatrixSolution(A,B);
st=disp_fu(A); displays String s as title
st=disp_latex(A); function st=disp_latex(A);
st=disp_latex_t(A); function st=disp_latex_t(A);
t=find_t(m1,method)
im(varargin); Fuzzy inutitionistic matrix class constructor.
sterm(v)
term(a) Fuzzy term class constructor.
Contents.m
alpha_eps_sample.m
binary4x2.m
cza.m
data4x2.m
data_intui.m
f_automata.m
fre_sample.m
fre_sample2.m
fre_sample3.m
i_sample4x3.m
kost.m
linprogsample.m
linprogsample_f.m
maxmin_sample.m
newinto.m
rel_sample.m
rel_sample2.m
rel_sample3.m
sample10x8.m
sample18x14.m
sample18x14a.m
sample18x14b.m
sample32x13.m
sample32x13a.m
sample32x13b.m
sample33x33.m
sample34x14.m
sample3x4.m
sample3x8.m
sample3x9.m
sample4x12.m
sample4x3.m
sample4x3a.m
sample4x4.m
sample5x4.m
sample5x5.m
sample5x5a.m
sample5x5b.m
sample8x8.m
sample9x8.m
sample9x9.m
sample_flsi.m
sample_solve_inv_probl.m
sewing_defects.m
sewing_defects1.m
View all files

from Fuzzy Relational Calculus Toolbox, Rel.1.01 by Yordan Kyosev & Ketty Peeva
The toolbox provides functions and original algorithms for solving direct and inverse problems.

alpha_eps_sample.m

A=[0	0.3	0.4
    0.2	0.5	0.3
    0.8	0	0
    0.7	1.0 0.9];

B=[1	0.2	0.2
    0.1	0.4	0.9
    0.1	1	0
    0.7	0.4 0.3];

% bb=fuzzy_maxmin(A,[0 1 0.2]')

bb=[0.3000
    0.5000
         0
    1.0000];

A1=A'
X=fuzzy_alpha(A1,bb)
C=fuzzy_maxmin(A,X)-bb
disp_latex(A)
disp_latex(bb)

Xe=fuzzy_epsilon(A1,bb)
C=fuzzy_minmax(A,Xe)-bb

Highlights from Fuzzy Relational Calculus Toolbox, Rel.1.01

Highlights from
Fuzzy Relational Calculus Toolbox, Rel.1.01