Industrial Control Systems

29Chapter two: Dynamic fuzzy systems modeling

Following similar argument, since the technology variable T depends on

the average performance measure of all productive processes in the econ-

omy: E, the level of development and utilization of information technol-

ogy: I, and the average experience and intelligence in the society, that is,

knowledge, K, T becomes

T T E I K= ( , , ) (2.6)

Thus, the development nonlinear equation can be written as

D D C T D C m m h P H F T E I K= =( , ) ( ( , , ( , , )), ( , , ))

1 2

(2.7)

This is obviously functionalizing development at a macro-level. At the

micro-level are myriads of variables on which each of the aforemen-

tioned variables depends. The decision-making organelle in optimizing

for dev