simSGFDK1 {ipsfs} | R Documentation |
SFS similarity measure values using simSGFDK1 computation technique with membership,non-membership, and indeterminacy membership values of two objects or set of objects.
simSGFDK1(ma, na, mb, nb, ia, ib, k)
ma |
SFS membership values for the data set x computed using either triangular or trapezoidal or guassian membership function |
na |
SFS non-membership values for the data set x computed using either Sugeno and Terano's or Yager's non-membership function |
mb |
SFS membership values for the data set y computed using either triangular or trapezoidal or guassian membership function |
nb |
SFS non-membership values for the data set y computed using either Sugeno and Terano's or Yager's non-membership function |
ia |
SFS indeterminacy membership values for the data set x |
ib |
SFS indeterminacy membership values for the data set y |
k |
A constant value, considered as 1 |
The SFS similarity values of data set y with data set x
S. A. S. Shishavan, F. K. Gundogdu, E. Farrokhizadeh, Y. Donyatalab, and C. Kahraman. Novel similarity measures in spherical fuzzy environment and their applications. Engineering ApplicationsĀ of Artificial Intelligence, 94:103837, 2020.
x<-matrix(c(12,9,14,11,21,16,15,24,20,17,14,11),nrow=4)
y<-matrix(c(11,21,6),nrow=1)
a<-mn(x)
b<-std(x)
a1<-mn(y)
b1<-std(y)
lam<-0.5
ma<-memG(a,b,x)
na<-nonmemS(ma,lam)
ia<-imemSFS(ma,na)
mb<-memG(a1,b1,y)
nb<-nonmemS(mb,lam)
ib<-imemSFS(mb,nb)
k<-1
simSGFDK1(ma,na,mb,nb,ia,ib,k)
#[1] 0.5765316 0.5799590 0.9132581 0.9132581