Modeling temporal uncertainty in microprocessor systems
Refereed conference paper presented and published in conference proceedings

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AbstractTemporal reasoning of event changes occurring at imprecisely known time instants is an important issue in microprocessor system diagnosis. The techniques being used to capture the notion of time imprecision in event occurrence are found to be ineffective in some instances. Hence, the fuzzy time point model is proposed. By using the simplistic assumptions on the model, the deductive capability of the existing time-range models are enhanced. The implementation of this system showed promising results in fuzzy time point reasoning.
All Author(s) ListYuen S.M., Lam K.P.
Name of ConferenceProceedings of the 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society, (ISUMA - NAFIPS'95)
Start Date of Conference17/09/1995
End Date of Conference20/09/1995
Place of ConferenceCollege Park, MD, USA
Country/Region of ConferenceUnited States of America
Pages26 - 31
LanguagesEnglish-United Kingdom

Last updated on 2020-03-08 at 02:28