An Analytical Approach to Quantifying EMC in System Effectiveness

An approach to quantifying EMC in system effectiveness is presented employing the techniques of decision analysis. Unusual features of the approach are the treatment of uncertainty through aubjective probability theory and of attitude toward risk through system capability theory. Capturing the structure of problem relationships unique to the quantification of electrocompatibility occupies a central position; the process can be visualized in a graphical problem space. These features are combined with other preference measures to produce a useful conceptual model for analyzing the influence of EMC in system effectiveness. In its three phases - deterministic, probabilistic, and informational - the model structure progressively determines the importance of variables in deterministic, probabilistic and economic environments. The ability to assign an economic value to the complete or partial elimination of uncertainty through experimentation is a particularly important characteristic.