Abstract
The fuzzy time-point model (ftp) has been proposed to quantify the uncertainty implicitly implied in the time-range representation for microprocessor systems diagnosis. [(1993), (1995)] The ftp model enhances the deductive capability of the time-range models. Extensive studies in ftp reasoning showed promising results. The approach is simple and efficient. It is capable to handle time imprecision associated with asynchronism in digital systems.
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Yuen, S.M., Lam, K.P. (1998). Modeling and Implementation of Fuzzy Time Point Reasoning in Microprocessor Systems. In: Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach . International Series in Intelligent Technologies, vol 11. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5473-8_8
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