Use of Important Measure Factors for Evaluating the Contribution of Individual Components to the Performance of Critical Systems

The purpose of this paper is to provide an analysis tool for computing the risk of complex systems according to some Importance Measure Concepts (IMC) in such a way that the results of the computation are displayed in terms of a list of preference which classifies the components according to their IMC values. From this list, one can determine the risk amplitude and take the necessary decisions for making the system less risky, safer and robust. We have tested the effectiveness of these IMC’s using a case study of a multicomponent communication system.