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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 8, 2013.
Abstract: This paper deals with using fuzzy logic to minimize uncertainty effects in surveillance. It studies the conception of an efficient fuzzy expert system that had two characteristics: generic and robust to uncertainties. Analyzing distance between variables optimal and real values is the main idea of the research. Fuzzy inference system decides, then, about significant variables state: normal or abnormal. A comparison between three proposed fuzzy expert systems is presented to highlight the effect of membership number and type. Beside, being generic this system could also be applied in three fields: industrial surveillance, camera surveillance and medical surveillance. To expose results in these fields, matlab is used to realize this approach and to simulate systems responses which revealed interested conclusions.
Najar Yousra, Ketata Raouf and Ksouri Mekki, “A Study on the Conception of Generic Fuzzy Expert System for Surveillance” International Journal of Advanced Computer Science and Applications(IJACSA), 4(8), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040830
@article{Yousra2013,
title = {A Study on the Conception of Generic Fuzzy Expert System for Surveillance},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040830},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040830},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {8},
author = {Najar Yousra and Ketata Raouf and Ksouri Mekki}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.