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The growing number of production enterprises that use software systems to support the production planning and control (PPC-systems and limited life-time of these systems imply that many enterprises have to decide whether or not an existing PPC-system is worthwhile reengineering. The factores that have an impact on this decision are non-quantifiable. Since the fuzzy-set-theory provides facilities to deal with non-quantifiable variables, a decision-tool based upon a fuzzy model was conceived.
A generic approach to describing shape and topography of arbitrary objects is presented, using linguistic variables to combine different features in one fuzzy descriptor. Although the origin of the method lies in molecular visualization and drug design, it can be applied in principle to any surface represented by a polygon mesh. Two approaches to shape description are presented that both lead to linguistic variables that can be used for surface segmentation by means of shape: One approach is based on the calculation of canonical curvatures, the other describes the "embeddedness" of a surface area related to the overall geometry of a 3D object.