Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13530
Title: An intelligent system to monitor the chemical concentration of electroplating process : an integrated OLAP and fuzzy logic approach
Authors: Leung, RWK
Lau, HCW
Kwong, CK 
Keywords: Fuzzy logic
Knowledge learning
Machine learning
On-line analytical processing (OLAP)
Issue Date: 2004
Source: Artificial intelligence review, 2004, v. 21, no. 2, p. 139-159 How to cite?
Journal: Artificial Intelligence Review 
Abstract: To cope with the issue of "brain drain" in today's competitive industrial environment, it is important to capture relevant experience and knowledge in order to sustain the continual growth of company business. In this respect, the study in the domain of knowledge learning is of paramount importance in terms of capturing and reuse of tacit and explicit knowledge. To support the process of knowledge learning, a methodology to establish an intelligent system, which consists of both On-Line Analytical Processing (OLAP) and fuzzy logic principles, is suggested. This paper attempts to propose this approach for integrating OLAP and fuzzy logic to form an intelligent system, capitalizing on the merits and at the same time offsetting the drawbacks of the involved technologies. In this system, the values and positions of related fuzzy sets are modified to suit the industrial environment, supporting smoother operation with less error. To validate the feasibility of the proposed system, a case study related to the monitoring of chemical concentration of PCB electroplating process is covered in the paper.
URI: http://hdl.handle.net/10397/13530
ISSN: 0269-2821
DOI: 10.1023/B:AIRE.0000020937.82267.32
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