A method to make classification of the heat treatment processes performed on bronze using incomplete knowledge
PBN-AR
Instytucja
Wydział Inżynierii Metali i Informatyki Przemysłowej (Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie)
Informacje podstawowe
Główny język publikacji
EN
Czasopismo
Archives of Foundry Engineering
ISSN
1897-3310
EISSN
2299-2944
Wydawca
Polish Academy of Sciences. Commission of Foundry Engineering
Rok publikacji
2014
Numer zeszytu
2
Strony od-do
69--72
Numer tomu
14
Link do pełnego tekstu
Identyfikator DOI
Liczba arkuszy
0.28
Autorzy
Pozostali autorzy
+ 4
Słowa kluczowe
EN
heat treatment
application of information technology to the foundry industry
data mining
rough sets
classification algorithms
Streszczenia
Język
EN
Treść
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.
Cechy publikacji
original article
peer-reviewed
Inne
System-identifier
idp:082135