@ARTICLE{Kluska-Nawarecka_S._A_2014,
 author={Kluska-Nawarecka, S. and Regulski, K. and Wilk-Kołodziejczyk, D. and Górny, Z. and Z. Jančíková and David, J.},
 number={No 2},
 journal={Archives of Foundry Engineering},
 howpublished={online},
 year={2014},
 publisher={The Katowice Branch of the Polish Academy of Sciences},
 abstract={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.},
 type={Artykuły / Articles},
 title={A Method to Make Classification of the Heat Treatment Processes Performed on Bronze Using Incomplete Knowledge},
 URL={http://ochroma.man.poznan.pl/Content/88023/PDF/14_paper.pdf},
 doi={10.2478/afe-2014-0039},
 keywords={Application of information technology to the foundry industry, Heat treatment, Classification algorithms, Rough sets, Datamining},
}