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Journal of Applied MathematicsVolume 2013 2013, Article ID 745153, 6 pages

Research ArticleFaculty of Technology, University Malaysia Pahang, Gambang Kuantan, 26300 Pahang, Malaysia

Received 4 February 2013; Accepted 22 August 2013

Academic Editor: Hadi Nasseri

Copyright © 2013 Shahryar Sorooshian. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

After investigating the advantages and disadvantages of current methods of statistical process control, it becomes important to overcome the disadvantages and then use the advantages to improve a method for monitoring a process with categorical observations. An approach which considers uncertainty and vagueness is tried for this study; and for this purpose, fuzzy set theory is inevitable to use. So, a new approach based on fuzzy set theory is introduced in this research for monitoring attribute quality characteristics. This approach is then compared with the current related approach to see the difference in performance.





Author: Shahryar Sorooshian

Source: https://www.hindawi.com/



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