msxd_sfusionbridge.m

基于证据理论的信息融合算法

clear all
nn=3 %证据个数
mm=3 %辨识框架内的元素个数
tt=1:mm
result(tt)=0

%uncertain evidence
xx=[0.95,0.00,0.05];         %证据1
yy=[0.95,0.00,0.05];         %证据2
zz=[0.95,0.00,0.05];         %证据3

%certain evidence
% xx=[0.95,0.00,0.05];
% yy=[0.95,0.00,0.05];
% zz=[0.88,0.07,0.05];

%conflict evidence
% xx=[0.95,0.00,0.05];
% yy=[0.00,0.95,0.05];
% zz=[0.88,0.07,0.05]

%average evidence
% xx=[0.95,0.00,0.05];
% yy=[0.61,0.34,0.05];
% zz=[0.88,0.07,0.05]

y=zeros(mm) %融合过程中间变量初始化

%融合过程
aa=1
while (aa<nn)
    
 for n=1:mm
    for m=1:mm
            y(n,m)=xx(n)*yy(m);
    end;
  end;
 k=sum(y);
   kk=sum(k)
  kk1=sum(y(1:mm-1,mm))
  kk2=sum(y(mm,:))
  
 kk3=0
 for i=1:mm-1
  kk3=kk3+y(i,i)
 end
 
 kk4=kk-kk1-kk2-kk3;    %计算说明书中公式（1.7）的K值
 
 %第一次融合结果
 for i=1:mm-1
    xx1(i)=(y(i,i)+y(i,mm)+y(mm,i))/(1-kk4);
 end;
 xx1(mm)=y(mm,mm)/(1-kk4);

xx=xx1;
yy=zz;
aa=aa+1;
end;
for r=1:mm
 result(r)=xx1(r);  %融合结果
end;
end