APPLICATION OF CONCEPTUAL LEARNING TECHNIQUES TO GENERALIZED GROUP TECHNOLOGY
作者:
B. MUTEL,
L. BOUZID,
R. DE GUIO,
期刊:
Applied Artificial Intelligence
(Taylor Available online 1992)
卷期:
Volume 6,
issue 4
页码: 443-458
ISSN:0883-9514
年代: 1992
DOI:10.1080/08839519208949966
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
In this article, we first point out the advantages and limitations of the keywords filtering techniques and the standard automatic clustering techniques for group technology applications. We consider, then, a product, or more generally an item, as a conjunction of symbolic attributes. We present a new method to recognize homogeneous families of products and to interpret the families by extraction of their concepts. Finally, the method is applied to analyze a population of 1010 mechanical parts.
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