Abstract
This chapter discusses the identification of errors. In order to identify error, three steps must be followed: (1) defining the universe of discourse; (2) determining a group of meta-rules G as the conditions for evaluating the rules for judging errors, figuring out the pertinent fields and time, and exploring relationships among rules and relationships between rules and object of interest; (3) finding out methods for identifying error given that tools and processes for identifying errors are well mastered. This chapter systematically presents the above-mentioned steps and provides applications accordingly.
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If X is a group of objects denoted by x, then a fuzzy set \(\tilde{A}\) in X is a set of ordered pair \(\tilde{A}\) \(= \) \(\{\) \((x\), \(\mu _{\tilde{A}}\) (x)) \(\mid \) x \(\in \) \(X\) \(\}\), \(\mu _{\tilde{A}}\) (x)) is called the membership function of x in \(\tilde{A}\) that maps X to the membership space M.
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Guo, K., Liu, S. (2020). Identification of Error. In: Error Systems: Concepts, Theory and Applications. Studies in Systems, Decision and Control, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-40760-5_2
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DOI: https://doi.org/10.1007/978-3-030-40760-5_2
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Print ISBN: 978-3-030-40759-9
Online ISBN: 978-3-030-40760-5
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