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A case-based reasoning system development for statistical process control: Case representation and retrieval
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AI
DOI：10.1016/j.cie.2012.07.007.png)
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Abstract
En 中文
Statistical process control (SPC) is a sub-area of statistical quality control. Considering the successful results of the SPC applications in various manufacturing and service industries, this field has attracted a large number of experts. Despite the development of knowledge in this field, it is hard to find a comprehensive perspective or model covering such a broad area and most studies related to SPC have focused only on a limited part of this knowledge area. According to many implemented cases in statistical process control, case-based reasoning (CBR) systems have been used in this study for developing of a knowledge-based system (KBS) for SPC to organize this knowledge area. Case representation and retrieval play an important role to implement a CBR system. Thus, a format for representing cases of SPC and the similarity measures for case retrieval are proposed in this paper. (C) 2012 Elsevier Ltd. All rights reserved.
Keywords:
Case-based reasoning
Statistical process control
Case representation
Case retrieval
Knowledge Engineering
Journal
IF:
6.5
Papers:
1.0W
Citations:
3.8W
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Cited Papers
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