The purpose of this study is to investigate and
optimize the dynamics of state transitions during a process
of multistage fuzzy control systems. A variation of the
methodology for solving the Vehicle Routing Problem,
known as the Savings Method, is applied to finding
a sequence of controls to maximize the overall performance
of multistage control processes. The Savings Method
has been modified into a heuristic to traverse state precedence
when transitioning from one known system state to another.
In addition, the procedure allows for imposing of two different
types of precedences (mandatory and optional) among transition
states, as well as a pair of fuzzy constraints and goals
throughout each stage of the process. As the control of
the system progresses, fuzzy goals may be preset or introduced
interactively.