  The paper focuses on composite multistage decision making problems which are
targeted to design a route/trajectory from an initial decision situation
(origin) to goal (destination) decision situation(s). Automobile routing
problem is considered as a basic physical metaphor. The problems are based on a
discrete (combinatorial) operations/states design/solving space (e.g.,
digraph). The described types of discrete decision making problems can be
considered as intelligent design of a route (trajectory, strategy) and can be
used in many domains: (a) education (planning of student educational
trajectory), (b) medicine (medical treatment), (c) economics (trajectory of
start-up development). Several types of the route decision making problems are
described: (i) basic route decision making, (ii) multi-goal route decision
making, (iii) multi-route decision making, (iv) multi-route decision making
with route/trajectory change(s), (v) composite multi-route decision making
(solution is a composition of several routes/trajectories at several
corresponding domains), and (vi) composite multi-route decision making with
coordinated routes/trajectories. In addition, problems of modeling and building
the design spaces are considered. Numerical examples illustrate the suggested
approach. Three applications are considered: educational trajectory
(orienteering problem), plan of start-up company (modular three-stage design),
and plan of medical treatment (planning over digraph with two-component
vertices).
