Applying Rough Set Theory for the Modeling of Austempered Ductile Iron Properties

• Autorzy: Kochański A. , Soroczyński A. , Kozłowski J.
• Języki publikacji: EN

Abstrakty

EN

The article discusses the possibilities of employing an algorithm based on the Rough Set Theory for generating engineering knowledge in the form of logic rules. The logic rules were generated from the data set characterizing the influence of process parameters on the ultimate tensile strength of austempered ductile iron. The paper assesses the obtained logic rules with the help of the rule quality evaluation measures, that is, with the help of the measures of confidence, support, and coverage, as well as the proposed rule quality coefficient.

Słowa kluczowe

EN

data mining; knowledge rules; rough set theory; casting

PL

pozyskiwanie danych; reguły wiedzy; teoria zbiorów przybliżonych; odlewnictwo

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2013
• Tom: Vol. 13, iss. 2 spec.
• Strony: 70--73
• Opis fizyczny: Bibliogr. 15 poz., tab., wykr.

Twórcy

autor

Kochański A.

• Department of Plastic Forming and Foundry Engineering, Warsaw University of Technology, Narbutta 85, 02-524Warszawa, Poland

autor

Soroczyński A.

• Department of Plastic Forming and Foundry Engineering, Warsaw University of Technology, Narbutta 85, 02-524Warszawa, Poland

autor

Kozłowski J.

• Department of Plastic Forming and Foundry Engineering, Warsaw University of Technology, Narbutta 85, 02-524Warszawa, Poland

Bibliografia

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