Incompletely described objects in decision support

Abstract

Incompletely described objects can occur in different fields of knowledge and applications: from medicine to spacecraft control. A decision support system capable of working with such objects can be developed using different approaches. One of the two approaches considered in this paper is rule-based reasoning; such systems use preformulated production rules of the IF-THEN form. Another approach known as casebased reasoning assumes that there is a case base containing descriptions of real or artificial cases (models). This approach does not require generating sets of a priori rules, also being much more similar to the decision making model used by the human.