Reduction of Complexity

Abstract

In this chapter, we employ specific steps for reducing, in a systematic manner, the complexity of the large number of variables derived from our system model without losing essential information with regard to the respective outcomes. This will be done, on the one hand, with the help of some statistical procedures and, on the other, by considering certain combinatorial analyses. We contend that it can be shown that these approaches meaningfully supplement each other, making up, to some extent, for their respective deficiencies. The results of both operations will then be combined in a further step in order to construct a limited number of more encompassing ‘super-variables’ which retain much of the original information.