ROUGH SETS APPLIED TO MATERIALS DATA

Rough sets is a mathematically well-grounded approach to discovering p atterns in data. Examples related to materials science illustrate the application of rough sets methodology to identifying related objects, determining the degree of dependency of subsets of attributes on other attributes, and testing subsets of objects for patterns. Classificati on of objects into classes that exhibit specific behavior is important in understanding material behavior and in predicting material propert ies. The lower approximation identifies those objects that belong with certainty to a pattern; the upper approximation identifies those obje cts that have some probability of belonging to some pattern. Results o f the application of the rough sets method to the chalcopyrite family of crystal structures are presented. Copyright (C) 1996 Acta Metallurg ica Inc.