Fuzzy mathematics is used to produce computer models directly from eng
ineering data acquired from mineral processing systems. A fuzzy model
is developed that uses linguistic terms to describe the relationships
between the variables in select mineral processing systems. Such fuzzy
linguistic models rely exlusively on data collected from the systems
being modelled; they do not presuppose an understanding of the physics
of the system. The lack of requirement for fully understanding the ph
ysics of the system being modelled is important in the mineral process
ing industry where these relationships are complex and difficult to ac
quire. The linguistic computer models that are developed are tuned wit
h a genetic algorithm which is employed to simultaneously select lingu
istic rules and tune fuzzy membership functions. The result is an extr
emely flexible approach to modelling that is applicable in a variety o
f mineral processing systems. The effectiveness of this approach to me
ddling is demonstrated using data from two pieces of mineral processin
g equipment: (I) a grinding circuit and (2) a hydrocyclone.