SELECTION OF SHEET-METAL BENDING MACHINES BY THE PRISM-INDUCTIVE LEARNING-METHOD

In this paper, a selection system of sheet metal bending machines is e stablished. Machine specifications such as pressure capacity and bendi ng length have to be considered in the selection in order to reach the best choice according to the need of the decision maker. The purpose of this paper is to utilize the PRISM method of inductive learning and knowledge acquisition to construct a product-type rule base, and furt her complete an expert system for the selection of sheet metal bending machines, which may assist the user in choosing the appropriate bendi ng machine.