Assume ( X , X )={ ( x , x ),..., ( x n , x n ) t },( Y , Y )={ ( y 1 , y 1 ),...( y m , y m ) },( ( L , L ), ≤) is a DF grid, and that 0 and 1 respectively represent the minimum and maximum elements of ( L , L ).

Definition 6.7 If ( R , R ):( X , X )×( Y , Y )( L , L ), we say that ( R , R ) is an ( L , L )-type DF matrix, written as

( R , R )=( ( r 11 , r 11 ) ( r 12 , r 12 ) ( r 1m , r 1m ) ( r 21 , r 21 ) ( r 22 , r 22 ) ( r 2m , r 2m

Get Dynamic Fuzzy Machine Learning now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.