In the contemporary world information plays increasingly more important role, but it is particularly important in military actions and database. Obviously, statistical information is one of the key points of military success of a state, an army or even a particular military combat unit. In such a situation the statistical information gathered may be crucial for the success, especially in the situation when technologies achieved unparalleled results and the more information is known about a combat military unit the less chances for success it has and in contrast the more information this unit possesses about the enemy the more chances to succeed it has. In such a situation it is very important to clearly understand what types of statistical information is needed for a military combat unit in order to achieve its goals.
First of all, a few words should be said about theoretical approaches to gathering statistical information, among which may be named such approaches as Bayesian statistics, Dempster-Shafer, fuzzy logic, rule-based inference, rough set theory, statistical capacity theory. These theories and theoretical approaches may vary but there are some key elements each approach has to take into consideration. Notably it is of paramount importance to gather statistical information in order to make it systematic and unified and consequently easy to use in case of a military combat unit has to undertake some actions. In order to achieve such a result, it is necessary to provide good and comprehensible data presentation, than data have to be encoded and transmitted. The next step implies pooling of diverse data into a coherent picture, and finally measurement of the informativeness of both data and fusion system. In such a way statistical information undergoes four basic stages.
