Reductive Reasoning

Today one of the most challenging problems of an organization is how to make the decision taking faster in order to improve efficiency. Excellence resides in the differences of people's tacit knowledge. In Knowledge Management excellence can be achieved if the leader delegates the Routine Decisions to others, while the Original Decisions are taken on basis of tacit knowledge. With Expert System Shell DoctuS, we can reduce the expressed rules to those meta-schemata that actually affect the decision. These metaschemata are derived from a blend of explicit and tacit knowledge. The process of reducing the number rules we call reduction, which is the third kind of reasoning beside deduction and induction. The achievement is that we can get the same decision using the values of fewer attributes. According to our experience the benefits include knowledge discovery in every application (i.e. a part of tacit knowledge is made explicit) and the process of decision taking becomes faster and its cost is reduced.