Methodology for the Construction of a Rule-Based Knowledge Base Enabling the Selection of Appropriate Bronze Heat Treatment Parameters Using Rough Sets

Archives of Metallurgy and Materials

K. Regulski¹  S. Kluska-Nawarecka²  D. Wilk-Kołodziejczyk²  Z. Górny² 

[1] AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY, AL. A. MICKIEWICZA 30, 30-059 KRAKÓW, POLAND;FOUNDRY RESEARCH INSTITUTE, 73 ZAKOPIA?SKA STR., 30-418 KRAKÓW, POLAND

关键词: Keywords: application of information technology to the foundry industry;    heat treatment;    classification algorithms;    rough sets;    data mining;   

DOI  :  10.1515/amm-2015-0050

学科分类：金属与冶金

来源: Akademia Gorniczo-Hutnicza im. Stanislawa Staszica / University of Mining and Metallurgy

【 摘 要 】

Decisions regarding appropriate methods for the heat treatment of bronzes affect the final properties obtained in these materials. This study gives an example of the construction of a knowledge base with application of the rough set theory. Using relevant inference mechanisms, knowledge stored in the rule-based database allows the selection of appropriate heat treatment parameters to achieve the required properties of bronze. The paper presents the methodology and the results of exploratory research. It also discloses the methodology used in the creation of a knowledge base.

【 授权许可】

Unknown