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As a bridge between different areas of optimization, the theory of set-valued optimization problems has wide applications in differential inclusion, variational inequality, optimal control, game theory, economic equilibrium problem, decision making, etc.
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The article is dedicated to the problem of decision making in complex systems.
One of the main problems is decision making.
These problems address decision making under uncertainty in highly dynamic environments.
This can be attributed to such systems necessarily being designed to handle complex and poorly structured problems and decision making.
It is a matter of taking the current problems of decision making in conditions of uncertainty to new levels in order to consider possible worlds that aren't quite as bad.
Via a context-specific decomposition of the problem into smaller subproblems, coordination graphs offer scalable solutions to the problem of multiagent decision making.
They may also perform as tools for problem solving and decision making.
Multi-agent systems are an efficient approach for problem solving and decision making.
We present a novel approach to relating the tools of technology to the problem of overseeing decision making processes.
The problem of ranking Decision Making Units (DMUs) in Data Envelopment Analysis DEAA) has been widely studied in the literature.
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