A Study on the Conception of Generic Fuzzy Expert System for Surveillance
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 8
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.
Authors and Affiliations
Najar Yousra, Ketata Raouf, Ksouri Mekki
Keywords
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- EP ID EP136008
- DOI 10.14569/IJACSA.2013.040830
- Views 106
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