TY - JOUR N2 - The article describes the problem of selection of heat treatment parameters to obtain the required mechanical properties in heat- treated bronzes. A methodology for the construction of a classification model based on rough set theory is presented. A model of this type allows the construction of inference rules also in the case when our knowledge of the existing phenomena is incomplete, and this is situation commonly encountered when new materials enter the market. In the case of new test materials, such as the grade of bronze described in this article, we still lack full knowledge and the choice of heat treatment parameters is based on a fragmentary knowledge resulting from experimental studies. The measurement results can be useful in building of a model, this model, however, cannot be deterministic, but can only approximate the stochastic nature of phenomena. The use of rough set theory allows for efficient inference also in areas that are not yet fully explored. L1 - http://journals.pan.pl/Content/88023/PDF/14_paper.pdf L2 - http://journals.pan.pl/Content/88023 PY - 2014 IS - No 2 DO - 10.2478/afe-2014-0039 KW - Application of information technology to the foundry industry KW - Heat treatment KW - Classification algorithms KW - Rough sets KW - Datamining A1 - Kluska-Nawarecka, S. A1 - Regulski, K. A1 - Wilk-Kołodziejczyk, D. A1 - Górny, Z. A1 - Z. Jančíková A1 - David, J. PB - The Katowice Branch of the Polish Academy of Sciences DA - 2014 T1 - A Method to Make Classification of the Heat Treatment Processes Performed on Bronze Using Incomplete Knowledge UR - http://journals.pan.pl/dlibra/publication/edition/88023 T2 - Archives of Foundry Engineering ER -