ABSTRACT

The more complicated and confused the environment gets, the more profoundly decision making is desired. Today, strategies for structuring comprehensive models are essential for problem solving. As a kind of problem-solving method, structural modeling is widely applied and befitting for the use of dealing with complex problems, which may serve as a basis for arranging involved criteria, and also provides a practical mechanism for use in the formation of decision structures. In particular, structural modeling is based on graph theory so that complex systems can be broken down into several subsystems-namely, factors of the problem-and displays interactions between those subsystems by graphs. Through the graphs, the whole structure of the system is more easily understood by intuition for capturing the nature of problems.