State
|

where is
the value of state variable i and m is the
number of state variables. |
Initial state set |
I = {s : states where the decision
process begins} |
Final state set |
F = {s : states where the decision
process ends} |
State space |
S = {s : s is feasible} |
Decision |

where is
the value of the jthdecision variable and p
is the number of decision variables. |
Feasible decision |
D(s) = {d : d leads
to a feasible state from state s} |
Transition function |
s' = T(s, d), a function that
determines the next state, s', reached when decision
d is taken from state s |
Decision objective |
z(s, d), the measure of effectiveness
associated with decision d taken in state s
|
Path objective |
z(P), the measure of effectiveness
defined for path P. This function describes
how the objective terms for each state on the path and
the final value function are combined to obtain a measure
for the entire path. |
Final value function |
f(s) value that is specified for all final
states |