首页   按字顺浏览 期刊浏览 卷期浏览 APPLICATION OF CONCEPTUAL LEARNING TECHNIQUES TO GENERALIZED GROUP TECHNOLOGY
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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