This study delivers a general overview of the theory and practice of fuzzy
relational equations. We discuss various methods leading to the solutions o
f these equations starting from analytical approaches, moving through semi-
analytic methods and finally elaborating on the neural-like style of findin
g solutions to relational constructs. The paper addresses important aspects
of knowledge representation worked out by these equations and proposes a n
umber of structural enhancements of the existing relational architectures.