Research on Parallel Decision Analyzing for Complex System of Systems

This paper presents a research method of parallel decision analyzing for complex system of systems, which aims at some problems of complex decision-making such as uncertainty, dynamic, decision maker embarrassment in the face of mass information, and so on. By richly using tasks allocating model of three-phase mission decomposing, which composes of goal decomposing, function decomposing and action decomposing, it firstly assigns the mission of the complex system of systems to each decision-making node. And according to the analyzing principle of parallel decision, it then disassembles the complex decision-making into stream decision-making, parallel decision-making and cross decision-making. On this basis, it expounds the essence of measure of effectiveness in the parallel decision process for complex system of systems, through defining some important terms such as measuring entity, level mapping and relationship between systems nodes. Lastly, it simply illustrates the application of parallel decision analyzing in complex system of systems. Thus, this proposed methodology can be applied to not only simplify the study of decision-making in complex system of systems, but also turn the intelligence superiority into the decision superiority timely to some extent, and partially help the decision-maker to seize the final competition predominance